15.3.26.7 Road Scene, General Analysis

Kasprzak, W., Niemann, H.,
Adaptive Road Recognition and Ego-State Tracking in the Presence of Obstacles,
IJCV(28), No. 1, June 1998, pp. 5-26.
DOI Link 9807
BibRef

Kasprzak, W.[Wlodzimierz], Niemann, H.[Heinrich], Wetzel, D.[Dirk],
Adaptive Road Parameter Estimation in Monocular Image Sequence,
BMVC94(xx-yy).
PDF File. 9409
BibRef
And:
Adaptive estimation procedures for dynamic road scene analysis,
ICIP94(I: 563-567).
IEEE DOI 9411
BibRef

Ji, X., Zhang, G., Chen, X., Guo, Q.,
Multi-Perspective Tracking for Intelligent Vehicle,
ITS(19), No. 2, February 2018, pp. 518-529.
IEEE DOI 1802
Cameras, Feature extraction, Intelligent vehicles, Radar tracking, Target tracking, Trajectory, Multi-perspective tracking, re-identification BibRef

Zhou, W., Lv, S., Jiang, Q., Yu, L.,
Deep Road Scene Understanding,
SPLetters(26), No. 4, April 2019, pp. 587-591.
IEEE DOI 1903
Decoding, Convolution, Roads, Semantics, Fuses, Feature extraction, Road scene understanding, fusion layer BibRef

Arnold, E., Al-Jarrah, O.Y., Dianati, M., Fallah, S., Oxtoby, D., Mouzakitis, A.,
A Survey on 3D Object Detection Methods for Autonomous Driving Applications,
ITS(20), No. 10, October 2019, pp. 3782-3795.
IEEE DOI 1910
Sensors, Object detection, Cameras, Laser radar, Autonomous vehicles, intelligent vehicles BibRef

Nousi, P., Triantafyllidou, D., Tefas, A., Pitas, I.,
Joint Lightweight Object Tracking and Detection for Unmanned Vehicles,
ICIP19(160-164)
IEEE DOI 1910
Visual Object Tracking, Lightweight Tracking, Re-detection BibRef

Tsiogas, E.[Efthimios], Kostavelis, I.[Ioannis], Giakoumis, D.[Dimitrios], Tzovaras, D.[Dimitrios],
V-disparity Based Obstacle Avoidance for Dynamic Path Planning of a Robot-trailer,
CVS19(143-152).
Springer DOI 1912
BibRef

Kim, J.U., Kwon, J., Kim, H.G., Ro, Y.M.,
BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection,
CirSysVideo(30), No. 4, April 2020, pp. 1037-1050.
IEEE DOI 2004
Object detection, Feature extraction, Deep learning, Encoding, Object recognition, Detectors, Proposals, Object detection, actor-critic network BibRef

Kim, J.U., Kwon, J., Kim, H.G., Lee, H., Ro, Y.M.,
Object Bounding Box-Critic Networks for Occlusion-Robust Object Detection in Road Scene,
ICIP18(1313-1317)
IEEE DOI 1809
Object detection, Roads, Feature extraction, Automobiles, Training, Machine learning, Robustness, Object detection, occlusion BibRef

Ali, A., Hassan, A., Ali, A.R., Ullah Khan, H., Kazmi, W., Zaheer, A.,
Real-time vehicle distance estimation using single view geometry,
WACV20(1100-1109)
IEEE DOI 2006
Estimation, Cameras, Roads, Machine learning, Geometry, Laser radar BibRef

Deng, L.Y.[Liu-Yuan], Yang, M.[Ming], Li, H.[Hao], Li, T.Y.[Tian-Yi], Hu, B.[Bing], Wang, C.X.[Chun-Xiang],
Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras,
ITS(21), No. 10, October 2020, pp. 4350-4362.
IEEE DOI 2010
Semantics, Cameras, Image segmentation, Convolution, Roads, Distortion, Training, Deformable convolution, semantic segmentation, multi-task learning BibRef

Lu, M.X.[Meng-Xu], Chen, Z.X.[Zhen-Xue], Wu, Q.M.J.[Q. M. Jonathan], Wang, N.N.[Nan-Nan], Rong, X.W.[Xue-Wen], Yan, X.H.[Xing-He],
FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road Scene,
ITS(23), No. 4, April 2022, pp. 3522-3530.
IEEE DOI 2204
Convolution, Semantics, Training, Logic gates, Image segmentation, Real-time systems, Fuses, Semantic segmentation, scene perception BibRef

Lv, Q.X.[Qing-Xuan], Sun, X.[Xin], Chen, C.R.[Chang-Rui], Dong, J.Y.[Jun-Yu], Zhou, H.Y.[Hui-Yu],
Parallel Complement Network for Real-Time Semantic Segmentation of Road Scenes,
ITS(23), No. 5, May 2022, pp. 4432-4444.
IEEE DOI 2205
Real-time systems, Image segmentation, Computational modeling, Semantics, Task analysis, Feature extraction, deep convolutional neural networks BibRef

Ruffino, C.[Cyprien], Blin, R.[Rachel], Ainouz, S.[Samia], Gasso, G.[Gilles], Hérault, R.[Romain], Meriaudeau, F.[Fabrice], Canu, S.[Stéphane],
Physically-admissible polarimetric data augmentation for road-scene analysis,
CVIU(222), 2022, pp. 103495.
Elsevier DOI 2209
BibRef
Earlier: A2, A3, A7, A6, Only:
A new multimodal RGB and polarimetric image dataset for road scenes analysis,
VAS20(867-876)
IEEE DOI 2008
Polarimetric imaging, Generative modeling: Road-scene analysis, Data augmentation: Generative Adversarial Networks. Meteorology, Roads, Cameras, Autonomous vehicles, Stokes parameters, Sensors BibRef

Feng, D.[Di], Harakeh, A.[Ali], Waslander, S.L.[Steven L.], Dietmayer, K.[Klaus],
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving,
ITS(23), No. 8, August 2022, pp. 9961-9980.
IEEE DOI 2208
Uncertainty, Estimation, Object detection, Probabilistic logic, Deep learning, Autonomous vehicles, Training, autonomous driving BibRef

Boisclair, J.[Jonathan], Kelouwani, S.[Sousso], Ayevide, F.K.[Follivi Kloutse], Amamou, A.[Ali], Alam, M.Z.[Muhammad Zeshan], Agbossou, K.[Kodjo],
Attention transfer from human to neural networks for road object detection in winter,
IET-IPR(16), No. 13, 2022, pp. 3544-3556.
DOI Link 2210
BibRef

Wang, H.F.[Hui-Feng], Shan, Y.H.[Yuan-He], Hao, T.[Ting], Zhao, X.M.[Xiang-Mo], Song, S.Z.[Shang-Zhen], Huang, H.[He], Zhang, J.J.[Jia-Jia],
Vehicle-Road Environment Perception Under Low-Visibility Condition Based on Polarization Features via Deep Learning,
ITS(23), No. 10, October 2022, pp. 17873-17886.
IEEE DOI 2210
Scattering, Photonics, Meteorology, Imaging, Image segmentation, Deep learning, Semantics, semantic segmentation BibRef

Wang, H.F.[Hui-Feng], Jiao, Y.M.[Yun-Mei], Hao, T.[Ting], Shan, Y.H.[Yuan-He], Song, S.Z.[Shang-Zhen], Huang, H.[He],
Low-Visibility Vehicle-Road Environment Perception Based on the Multi-Modal Visual Features Fusion of Polarization and Infrared,
ITS(24), No. 11, November 2023, pp. 11997-12013.
IEEE DOI 2311
BibRef

Zhou, D.F.[Ding-Fu], Song, X.B.[Xi-Bin], Fang, J.[Jin], Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong], Zhang, L.J.[Liang-Jun],
Context-Aware 3D Object Detection From a Single Image in Autonomous Driving,
ITS(23), No. 10, October 2022, pp. 18568-18580.
IEEE DOI 2210
Object detection, Training, Feature extraction, Task analysis, Sensors, Detectors, Monocular 3D object detection, self-attention BibRef

Chen, J.[Jing], Wang, Q.C.[Qi-Chao], Peng, W.M.[Wei-Ming], Xu, H.T.[Hai-Tao], Li, X.D.[Xiao-Dong], Xu, W.Q.[Wen-Qiang],
Disparity-Based Multiscale Fusion Network for Transportation Detection,
ITS(23), No. 10, October 2022, pp. 18855-18863.
IEEE DOI 2210
Detecting small objects at a distance. Feature extraction, Point cloud compression, Object detection, Proposals, Image segmentation, Semantics, Disparity depths, multiscale BibRef

Xu, F.[Feiyi], Xu, F.[Feng], Xie, J.C.[Jiu-Cheng], Pun, C.M.[Chi-Man], Lu, H.M.[Hui-Min], Gao, H.[Hao],
Action Recognition Framework in Traffic Scene for Autonomous Driving System,
ITS(23), No. 11, November 2022, pp. 22301-22311.
IEEE DOI 2212
Law enforcement, Pose estimation, Autonomous vehicles, Joints, Detectors, Roads, Autonomous driving, graph convolutional network, 3D pose estimation BibRef

Lu, M.X.[Meng-Xu], Chen, Z.X.[Zhen-Xue], Liu, C.Y.[Cheng-Yun], Ma, S.[Sile], Cai, L.[Lei], Qin, H.[Hao],
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road Scenes,
ITS(23), No. 11, November 2022, pp. 20991-21003.
IEEE DOI 2212
Semantics, Convolution, Real-time systems, Image segmentation, Roads, Feature extraction, Task analysis, Semantic segmentation, multi-feature fusion BibRef

Wang, H.[Hai], Chen, Y.Y.[Yan-Yan], Cai, Y.F.[Ying-Feng], Chen, L.[Long], Li, Y.C.[Yi-Cheng], Sotelo, M.A.[Miguel Angel], Li, Z.X.[Zhi-Xiong],
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes,
ITS(23), No. 11, November 2022, pp. 21405-21417.
IEEE DOI 2212
Image segmentation, Semantics, Lighting, Meteorology, Roads, Autonomous vehicles, Annotations, Semantic segmentation, autonomous driving BibRef

Gong, S.[Shi], Zhou, H.[Huan], Xue, F.[Feng], Fang, C.[Cong], Li, Y.Q.[Yi-Qun], Zhou, Y.[Yu],
FastRoadSeg: Fast Monocular Road Segmentation Network,
ITS(23), No. 11, November 2022, pp. 21505-21514.
IEEE DOI 2212
Roads, Convolution, Decoding, Context modeling, Real-time systems, Image segmentation, Kernel, Road segmentation, horizontal context, convolutional neural networks BibRef

Muhammad, K.[Khan], Hussain, T.[Tanveer], Ullah, H.[Hayat], del Ser, J.[Javier], Rezaei, M.[Mahdi], Kumar, N.[Neeraj], Hijji, M.[Mohammad], Bellavista, P.[Paolo], de Albuquerque, V.H.C.[Victor Hugo C.],
Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks,
ITS(23), No. 12, December 2022, pp. 22694-22715.
IEEE DOI 2212
Feature extraction, Automobiles, Visualization, Semantics, Roads, Image color analysis, Autonomous driving, semantic segmentation BibRef

Shi, Y.J.[Yong-Jie], Ying, X.H.[Xiang-Hua], Zha, H.B.[Hong-Bin],
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Street Scenes Reflected by Convex Mirrors,
ITS(23), No. 12, December 2022, pp. 24276-24289.
IEEE DOI 2212
Mirrors, Distortion, Adaptation models, Semantics, Strain, Object detection, Feature extraction, semantic segmentation BibRef

Chen, J.X.[Jia-Xin], Li, X.[Xiang], Xie, J.[Jin], Li, J.[Jun], Qian, J.J.[Jian-Jun], Yang, J.[Jian],
CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection,
ITS(23), No. 12, December 2022, pp. 23124-23135.
IEEE DOI 2212
Point cloud compression, Feature extraction, Object detection, Detectors, Proposals, Graph neural networks, Cross-scale, bilateral attention mechanism BibRef

Musunuri, Y.R.[Yogendra Rao], Kwon, O.S.[Oh-Seol], Kung, S.Y.[Sun-Yuan],
SRODNet: Object Detection Network Based on Super Resolution for Autonomous Vehicles,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Yang, S.[Shuo], Lu, H.M.[Hui-Min], Li, J.R.[Jian-Ru],
Multifeature Fusion-Based Object Detection for Intelligent Transportation Systems,
ITS(24), No. 1, January 2023, pp. 1126-1133.
IEEE DOI 2301
Feature extraction, Point cloud compression, Object detection, Task analysis, Intelligent transportation systems, Tensors, feature fusion BibRef

Zhao, C.R.[Chong-Ren], Zhang, Y.H.[Yin-Hui], He, Z.F.[Zi-Fen], Deng, Y.N.[Yun-Nan], Huang, Y.[Ying], Chen, G.C.[Guang-Chen],
Spatial-Temporal Aggregated Shuffle Attention for Video Instance Segmentation of Traffic Scene,
IEICE(E106-D), No. 2, February 2023, pp. 240-251.
WWW Link. 2302
BibRef

Yang, C.X.[Chen-Xi], He, L.[Lei], Zhuang, H.Y.[Han-Yang], Wang, C.X.[Chun-Xiang], Yang, M.[Ming],
Pseudo-Anchors: Robust Semantic Features for Lidar Mapping in Highly Dynamic Scenarios,
ITS(24), No. 2, February 2023, pp. 1619-1630.
IEEE DOI 2302
Laser radar, Global navigation satellite system, Feature extraction, Vehicle dynamics, Semantics, Roads, highly dynamic scenarios BibRef

Lee, J.[Jinkyu], Back, M.[Muhyun], Hwang, S.S.[Sung Soo], Chun, I.Y.[Il Yong],
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames,
ITS(24), No. 3, March 2023, pp. 2800-2813.
IEEE DOI 2303
Simultaneous localization and mapping, Cameras, Semantic segmentation, Location awareness, Feature extraction, autonomous driving BibRef

Pan, H.H.[Hui-Hui], Hong, Y.D.[Yuan-Duo], Sun, W.C.[Wei-Chao], Jia, Y.S.[Yi-Song],
Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes,
ITS(24), No. 3, March 2023, pp. 3448-3460.
IEEE DOI 2303
Real-time systems, Semantic segmentation, Semantics, Data mining, Feature extraction, Task analysis, Semantic segmentation, deep convolutional neural networks BibRef

Shi, P.C.[Pei-Cheng], Qi, H.[Heng], Liu, Z.Q.[Zhi-Qiang], Yang, A.[Aixi],
Context-guided ground truth sampling for multi-modality data augmentation in autonomous driving,
IET-ITS(17), No. 3, 2023, pp. 459-469.
DOI Link 2303
BibRef

Awan, M.[Mehwish], Shin, J.[Jitae],
Weakly supervised multi-class semantic video segmentation for road scenes,
CVIU(230), 2023, pp. 103664.
Elsevier DOI 2303
Semantic video segmentation, Weakly supervised learning, Weakly supervised semantic segmentation, Joint classification and segmentation learning BibRef

Zhang, Y.[Yan], Liu, K.[Kang], Bao, H.[Hong], Zheng, Y.[Ying], Yang, Y.[Yi],
PMPF: Point-Cloud Multiple-Pixel Fusion-Based 3D Object Detection for Autonomous Driving,
RS(15), No. 6, 2023, pp. 1580.
DOI Link 2304
BibRef

Li, C.J.[Cui-Jin], Qu, Z.[Zhong], Wang, S.Y.[Sheng-Ye],
PerspectiveNet: An Object Detection Method With Adaptive Perspective Box Network Based on Density-Aware,
ITS(24), No. 5, May 2023, pp. 5419-5429.
IEEE DOI 2305
Object detection, Adaptive systems, Training, Feature extraction, Convolutional neural networks, Head, Classification algorithms, adaptive network BibRef

Dai, Y.P.[Ying-Peng], Li, C.L.[Cheng-Lin], Su, X.H.[Xiao-Hang], Liu, H.X.[Hong-Xian], Li, J.H.[Jie-Hao],
Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street-Road Scenes,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Zhou, Y.[Yan], Zheng, X.H.[Xi-Hong], Yang, Y.[Yin], Li, J.X.[Jian-Xun], Mu, J.Z.[Jin-Zhen], Irampaye, R.[Richard],
Multi-directional feature refinement network for real-time semantic segmentation in urban street scenes,
IET-CV(17), No. 4, 2023, pp. 431-444.
DOI Link 2306
computer vision, image segmentation BibRef

Li, X.[Xuan], Duan, H.B.[Hai-Bin], Liu, B.Z.[Bing-Zi], Wang, X.[Xiao], Wang, F.Y.[Fei-Yue],
A Novel Framework to Generate Synthetic Video for Foreground Detection in Highway Surveillance Scenarios,
ITS(24), No. 6, June 2023, pp. 5958-5970.
IEEE DOI 2306
Computational modeling, Surveillance, Road transportation, Generative adversarial networks, Synthetic data, Solid modeling, scenarios engineering BibRef

Ghahremannezhad, H.[Hadi], Shi, H.[Hang], Liu, C.J.[Cheng-Jun],
Object Detection in Traffic Videos: A Survey,
ITS(24), No. 7, July 2023, pp. 6780-6799.
IEEE DOI 2307
Survey, Object Detection. Object detection, Feature extraction, Surveillance, Traffic control, Videos, Cameras, Motion segmentation, traffic surveillance BibRef

Chen, Q.[Qili], Pan, G.Y.[Guang-Yuan], Zhao, L.[Lin], Fan, J.F.[Jun-Fang], Chen, W.B.[Wen-Bai], Zhang, A.[Ancai],
An Adaptive Hybrid Attention Based Convolutional Neural Net for Intelligent Transportation Object Recognition,
ITS(24), No. 7, July 2023, pp. 7791-7801.
IEEE DOI 2307
Entropy, Training, Deep learning, Brain modeling, Adaptation models, Mathematical models, Image segmentation, Signal communication, hybrid intelligent system BibRef

Gao, H.H.[Hong-Hao], Fang, D.[Danqing], Xiao, J.S.[Jun-Sheng], Hussain, W.[Walayat], Kim, J.Y.[Jung Yoon],
CAMRL: A Joint Method of Channel Attention and Multidimensional Regression Loss for 3D Object Detection in Automated Vehicles,
ITS(24), No. 8, August 2023, pp. 8831-8845.
IEEE DOI 2308
Object detection, Cameras, Estimation, Roads, Solid modeling, Detectors, Automated vehicle, 3D object detection, channel attention BibRef

Saleh, K.[Khaled], Hossny, M.[Mohammed], Abobakr, A.[Ahmed], Attia, M.[Mohammed], Iskander, J.[Julie],
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments,
ITS(24), No. 9, September 2023, pp. 9435-9448.
IEEE DOI 2310
BibRef

Wang, H.[Hai], Tao, L.[Le], Cai, Y.F.[Ying-Feng], Chen, L.[Long], Li, Y.C.[Yi-Cheng], Sotelo, M.A.[Miguel Angel], Li, Z.X.[Zhi-Xiong],
CenterPoint-SE: A Single-Stage Anchor-Free 3-D Object Detection Algorithm With Spatial Awareness Enhancement,
ITS(24), No. 10, October 2023, pp. 10760-10773.
IEEE DOI 2310
BibRef

Yin, D.S.[Dong-Shuo], Yu, H.F.[Hong-Feng], Liu, N.[Nayu], Yao, F.L.[Fang-Long], He, Q.[Qibin], Li, J.[Jihao], Yang, Y.[Yiran], Yan, S.[Shiyao], Sun, X.[Xian],
GAL: Graph-Induced Adaptive Learning for Weakly Supervised 3D Object Detection,
ITS(24), No. 9, September 2023, pp. 9684-9697.
IEEE DOI 2310
BibRef

Bai, Z.W.[Zheng-Wei], Nayak, S.P.[Saswat P.], Zhao, X.P.[Xuan-Peng], Wu, G.Y.[Guo-Yuan], Barth, M.J.[Matthew J.], Qi, X.W.[Xue-Wei], Liu, Y.K.[Yong-Kang], Sisbot, E.A.[Emrah Akin], Oguchi, K.[Kentaro],
Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR,
ITS(24), No. 9, September 2023, pp. 9476-9489.
IEEE DOI 2310
BibRef

Tian, R.[Rui], Zhang, Y.Z.[Yun-Zhou], Cao, Z.Z.[Zhen-Zhong], Zhang, J.P.[Jin-Peng], Yang, L.H.[Ling-Hao], Coleman, S.[Sonya], Kerr, D.[Dermot], Li, K.[Kun],
Object SLAM With Robust Quadric Initialization and Mapping for Dynamic Outdoors,
ITS(24), No. 10, October 2023, pp. 11080-11095.
IEEE DOI 2310
BibRef

Ahmed, I.[Imran], Jeon, G.G.[Gwang-Gil], Chehri, A.[Abdellah],
A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles,
ITS(24), No. 11, November 2023, pp. 13078-13087.
IEEE DOI 2311
BibRef

Zhang, Y.[Yachao], Yuan, Y.X.[Yu-Xia],
ResNet-based surface normal estimator with multilevel fusion approach with adaptive median filter region growth algorithm for road scene segmentation,
IJCVR(14), No. 1, 2024, pp. 99-117.
DOI Link 2312
BibRef

Ren, J.Z.[Jing-Zhi], Li, Y.Q.[Yong-Qiang], Liu, H.Y.[Hui-Yun], Li, K.H.[Kang-Hong], Hao, D.[Daoqian], Wang, Z.Y.[Zhi-Yao],
Analysis of Light Obstruction from Street Lighting in Road Scenes,
RS(15), No. 24, 2023, pp. 5655.
DOI Link 2401
BibRef

Jiang, Z.P.[Zhi-Peng], Zhang, Y.S.[Yong-Sheng], Wang, Z.Q.[Zi-Quan], Yu, Y.[Ying], Zhang, Z.C.[Zhen-Chao], Zhang, M.W.[Meng-Wei], Zhang, L.[Lei], Cheng, B.B.[Bin-Bin],
Inter-Domain Invariant Cross-Domain Object Detection Using Style and Content Disentanglement for In-Vehicle Images,
RS(16), No. 2, 2024, pp. 304.
DOI Link 2402
BibRef

Fan, J.Q.[Jia-Qi], Gao, B.Z.[Bing-Zhao], Ge, Q.B.[Quan-Bo], Ran, Y.B.[Ya-Bing], Zhang, J.[Jia], Chu, H.Q.[Hong-Qing],
SegTransConv: Transformer and CNN Hybrid Method for Real-Time Semantic Segmentation of Autonomous Vehicles,
ITS(25), No. 2, February 2024, pp. 1586-1601.
IEEE DOI 2402
Transformers, Real-time systems, Feature extraction, Decoding, Computational modeling, Semantics, Convolutional neural networks, transformer BibRef

Jiang, P.[Ping], Deng, X.H.[Xiao-Heng], Wan, S.H.[Shao-Hua], Qi, H.[Huamei], Zhang, S.C.[Shi-Chao],
Confidence-Enhanced Mutual Knowledge for Uncertain Segmentation,
ITS(25), No. 1, January 2024, pp. 725-737.
IEEE DOI 2402
Task analysis, Multitasking, Feature extraction, Semantic segmentation, Semantics, Meteorology, Training, graph neural network BibRef

Wang, X.[Xuan], Li, K.Q.[Kai-Qiang], Chehri, A.[Abdellah],
Multi-Sensor Fusion Technology for 3D Object Detection in Autonomous Driving: A Review,
ITS(25), No. 2, February 2024, pp. 1148-1165.
IEEE DOI 2402
Three-dimensional displays, Object detection, Cameras, Autonomous vehicles, Sensors, Laser radar, Object recognition, LiDAR BibRef

Xue, F.[Feng], Chang, Y.C.[Yi-Cong], Wang, T.X.[Tian-Xi], Zhou, Y.[Yu], Ming, A.L.[An-Long],
Indoor Obstacle Discovery on Reflective Ground via Monocular Camera,
IJCV(132), No. 3, March 2024, pp. 987-1007.
Springer DOI 2402
Code:
WWW Link. BibRef

Lis, K.[Krzysztof], Honari, S.[Sina], Fua, P.[Pascal], Salzmann, M.[Mathieu],
Detecting Road Obstacles by Erasing Them,
PAMI(46), No. 4, April 2024, pp. 2450-2460.
IEEE DOI 2403
Roads, Training, Semantics, Semantic segmentation, Image reconstruction, Detectors, Feature extraction, vehicle safety BibRef

Wang, Y.F.[Yun-Feng], Zhou, Y.[Yi], Wu, H.[Hao], Liu, X.[Xiyu], Zhai, X.D.[Xiao-Di], Sun, K.[Kuizhi], Tian, C.L.[Cheng-Liang], Zhao, H.X.[Hai-Xia], Li, T.[Tao], Jia, W.G.[Wen-Guang], Zhang, Y.[Yan],
MFCANet: A Road Scene Segmentation Network Based on Multi-Scale Feature Fusion and Context Information Aggregation,
JVCIR(98), 2024, pp. 104055.
Elsevier DOI 2402
Scene segmentation, Separable pyramidal information aggregation, Pixel-wise information cross-fusion BibRef

Ma, X.Z.[Xin-Zhu], Ouyang, W.L.[Wan-Li], Simonelli, A.[Andrea], Ricci, E.[Elisa],
3D Object Detection From Images for Autonomous Driving: A Survey,
PAMI(46), No. 5, May 2024, pp. 3537-3556.
IEEE DOI 2404
Object detection, Taxonomy, Task analysis, Benchmark testing, Surveys, Laser radar, RGB image BibRef

Li, G.[Gongfa], Fan, H.[Hanwen], Jiang, G.Z.[Guo-Zhang], Jiang, D.[Du], Liu, Y.T.[Yu-Ting], Tao, B.[Bo], Yun, J.T.[Jun-Tong],
RGBD-SLAM Based on Object Detection With Two-Stream YOLOv4-MobileNetv3 in Autonomous Driving,
ITS(25), No. 3, March 2024, pp. 2847-2857.
IEEE DOI 2405
Simultaneous localization and mapping, Object detection, Semantics, Visualization, Feature extraction, Autonomous vehicles, position estimation BibRef

Cai, F.P.[Fei-Peng], Chen, H.[Hao], Deng, L.[Liuyuan],
CI3D: Context Interaction for Dynamic Objects and Static Map Elements in 3D Driving Scenes,
IP(33), 2024, pp. 2867-2879.
IEEE DOI 2405
Object detection, Vehicle dynamics, Task analysis, Feature extraction, Image segmentation, Head, 3D object detection, 3D perception BibRef

Shi, X.Q.[Xiao-Qiang], Yin, Z.Y.[Zhen-Yu], Han, G.J.[Guang-Jie], Liu, W.Z.[Wen-Zhuo], Qin, L.[Li], Bi, Y.G.[Yuan-Guo], Li, S.[Shurui],
BSSNet: A Real-Time Semantic Segmentation Network for Road Scenes Inspired From AutoEncoder,
CirSysVideo(34), No. 5, May 2024, pp. 3424-3438.
IEEE DOI Code:
WWW Link. 2405
Real-time systems, Semantics, Semantic segmentation, Feature extraction, Data mining, feature fusion BibRef

Li, K.[Kaige], Geng, Q.[Qichuan], Zhou, Z.[Zhong],
Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes,
ITS(25), No. 5, May 2024, pp. 3575-3587.
IEEE DOI Code:
WWW Link. 2405
Real-time systems, Encoding, Semantic segmentation, Convolution, Transformers, Task analysis, Semantics, Street scene understanding, selective feature fusion BibRef

Zhan, J.[Jiao], Liu, J.N.[Jing-Nan], Wu, Y.[Yejun], Guo, C.[Chi],
Multi-Task Visual Perception for Object Detection and Semantic Segmentation in Intelligent Driving,
RS(16), No. 10, 2024, pp. 1774.
DOI Link 2405
BibRef

Massoud, Y.[Yahya], Laganiere, R.[Robert],
Learnable fusion mechanisms for multimodal object detection in autonomous vehicles,
IET-CV(18), No. 4, 2024, pp. 499-511.
DOI Link 2406
convolutional neural nets, image classification, image processing, image recognition, object recognition BibRef

Liu, M.[Moyun], Chen, Y.[Youping], Xie, J.M.[Jing-Ming], Zhu, Y.J.[Yi-Jie], Zhang, Y.[Yang], Yao, L.[Lei], Bing, Z.S.[Zhen-Shan], Zhuang, G.[Genghang], Huang, K.[Kai], Zhou, J.T.Y.[Joey Tian-Yi],
MENet: Multi-Modal Mapping Enhancement Network for 3D Object Detection in Autonomous Driving,
ITS(25), No. 8, August 2024, pp. 9397-9410.
IEEE DOI 2408
Point cloud compression, Object detection, Laser radar, Cameras, Feature extraction, Proposals, Multi-modal fusion, autonomous driving BibRef

Zhao, C.[Cong], Ding, D.[Delong], Shi, Y.P.[Yu-Peng], Ji, Y.X.[Yu-Xiong], Du, Y.C.[Yu-Chuan],
Graph Matching-Based Spatiotemporal Calibration of Roadside Sensors in Cooperative Vehicle-Infrastructure Systems,
ITS(25), No. 8, August 2024, pp. 9281-9295.
IEEE DOI 2408
Sensors, Calibration, Trajectory, Spatiotemporal phenomena, Intelligent sensors, Clocks, Sensor systems, Smart road, Gaussian process BibRef

Wu, X.[Xu], Chen, S.[Suting],
Multi-label recognition in open driving scenarios based on bipartite-driven superimposed dynamic graph,
IVC(149), 2024, pp. 105189.
Elsevier DOI 2408
Multi-label recognition, Semantic decoupling, Priori knowledge, Label relationship, Dynamic graph convolution BibRef

Tong, Q.L.[Qing-Lin], Zhang, J.J.[Jun-Jie], Yan, C.G.[Cheng-Gang], Zeng, D.[Dan],
A streamlined framework for BEV-based 3D object detection with prior masking,
IVC(150), 2024, pp. 105229.
Elsevier DOI 2409
Multi-camera, bird's-eye-view (BEV) representation, 3D object detection, Autonomous driving BibRef

Chu, H.Z.[Hua-Zhen], Liu, H.Z.[Hai-Zhuang], Zhuo, J.[Junbao], Chen, J.S.[Jian-Sheng], Ma, H.M.[Hui-Min],
Occlusion-guided multi-modal fusion for vehicle-infrastructure cooperative 3D object detection,
PR(157), 2025, pp. 110939.
Elsevier DOI 2409
3D object detection, Vehicle-infrastructure cooperative, Vehicle-vehicle cooperative, Occlusion, Autonomous driving BibRef

Zhao, Y.[Yiyue], Wang, L.[Liang], Yun, X.Y.[Xin-Yu], Chai, C.[Chen], Liu, Z.Y.[Zhi-Yu], Fan, W.X.[Wen-Xuan], Luo, X.[Xiao], Liu, Y.[Yang], Qu, X.B.[Xiao-Bo],
Enhanced Scene Understanding and Situation Awareness for Autonomous Vehicles Based on Semantic Segmentation,
SMCS(54), No. 11, November 2024, pp. 6537-6549.
IEEE DOI 2410
Roads, Complexity theory, Feature extraction, Visualization, Visual perception, Semantic segmentation, Motion segmentation, situation awareness BibRef

Meng, Z.L.[Zong-Lin], Xia, X.[Xin], Ma, J.Q.[Jia-Qi],
Toward Foundation Models for Inclusive Object Detection: Geometry- and Category-Aware Feature Extraction Across Road User Categories,
SMCS(54), No. 11, November 2024, pp. 6570-6580.
IEEE DOI 2410
Feature extraction, Point cloud compression, Roads, Convolution, Object detection, Pedestrians, Kernel, vulnerable road user (VRU) perception BibRef

Hua, G.G.[Guo-Guang], Zheng, D.[Dalian], Tian, S.[Shishun], Zou, W.B.[Wen-Bin], Liu, S.[Shenglan], Li, X.[Xia],
'Where Does the Devil Lie?': Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation,
MultMed(26), 2024, pp. 10306-10317.
IEEE DOI 2410
Roads, Image segmentation, Task analysis, Feature extraction, Collaboration, Decoding, Uncertainty, Deep learning, failure detection BibRef

Chen, H.[Hai], Yan, H.Q.[Huan-Qian], Yang, X.[Xiao], Su, H.[Hang], Zhao, S.[Shu], Qian, F.[Fulan],
Efficient Adversarial Attack Strategy Against 3D Object Detection in Autonomous Driving Systems,
ITS(25), No. 11, November 2024, pp. 16118-16132.
IEEE DOI Code:
WWW Link. 2411
Object detection, Solid modeling, Point cloud compression, Feature extraction, Autonomous vehicles, Robustness, adversarial loss BibRef

Meng, Z.[ZeYu], Song, Y.[YongHong], Zhang, Y.[YuanLin], Nan, Y.[YueXing], Bai, Z.[ZeNan],
Traffic Object Detection for Autonomous Driving Fusing LiDAR and Pseudo 4D-Radar Under Bird's-Eye-View,
ITS(25), No. 11, November 2024, pp. 18185-18195.
IEEE DOI 2411
Radar, Laser radar, Feature extraction, Radar detection, Object detection, Point cloud compression, Autonomous driving, radar BibRef

Liu, H.Z.[Hai-Zhuang], Chu, H.Z.[Hua-Zhen], Zhuo, J.B.[Jun-Bao], Zou, B.C.[Bo-Chao], Chen, J.S.[Jian-Sheng], Ma, H.M.[Hui-Min],
SparseComm: An Efficient Sparse Communication Framework for Vehicle-Infrastructure Cooperative 3D Detection,
PR(158), 2025, pp. 110961.
Elsevier DOI 2411
Collaborative perception, 3D object detection, Sparse communication BibRef

Hanif, M.W.[Muhammad Wahab], Li, Z.L.[Zhan-Li], Yu, Z.H.[Zhen-Hua], Bashir, R.[Rehmat],
A lightweight object detection approach based on edge computing for mining industry,
IET-IPR(18), No. 13, 2024, pp. 4005-4022.
DOI Link 2411
edge detection, image processing, object detection, spatial filters BibRef

Liu, W.Y.[Wen-Yu], Wang, S.[Song], Zhu, J.[Jianke], Xie, X.S.[Xuan-Song], Zhang, L.[Lei],
Domain Adaptation Transformer for Unsupervised Driving-Scene Segmentation in Adverse Conditions,
ITS(25), No. 12, December 2024, pp. 21129-21141.
IEEE DOI Code:
WWW Link. 2412
Transformers, Training, Semantic segmentation, Adaptation models, Context modeling, Meteorology, Snow, Autonomous vehicles, Accuracy, adverse-condition vision BibRef

Liao, M.[Muxin], Tian, S.S.[Shi-Shun], Zhang, Y.H.[Yu-Hang], Hua, G.G.[Guo-Guang], Zou, W.B.[Wen-Bin], Li, X.[Xia],
Calibration-Based Multi-Prototype Contrastive Learning for Domain Generalization Semantic Segmentation in Traffic Scenes,
ITS(25), No. 12, December 2024, pp. 20985-21001.
IEEE DOI Code:
WWW Link. 2412
Prototypes, Contrastive learning, Semantic segmentation, Intelligent transportation systems, Training, Vegetation, multi-prototype contrastive learning BibRef

Ren, D.[Dexin], Li, M.[Minxian], Wang, S.D.[Shi-Dong], Ren, M.[Mingwu], Zhang, H.F.[Hao-Feng],
SAFENet: Semantic-Aware Feature Enhancement Network for unsupervised cross-domain road scene segmentation,
IVC(152), 2024, pp. 105318.
Elsevier DOI 2412
Unsupervised domain adaptation, Semantic segmentation, Semantic-Aware Feature Enhancement, Knowledge transfer BibRef

Zhu, X.S.[Xiao-Su], Sheng, H.[Hualian], Cai, S.[Sijia], Deng, B.[Bing], Yang, S.P.[Shao-Peng], Liang, Q.[Qiao], Chen, K.[Ken], Gao, L.[Lianli], Song, J.K.[Jing-Kuan], Ye, J.P.[Jie-Ping],
Roscenes: A Large-scale Multi-view 3d Dataset for Roadside Perception,
ECCV24(XLI: 331-347).
Springer DOI 2412
BibRef

Erabati, G.K.[Gopi Krishna], Araujo, H.[Helder],
RetSeg3D: Retention-based 3D semantic segmentation for autonomous driving,
CVIU(250), 2025, pp. 104231.
Elsevier DOI 2501
3D semantic segmentation, Retention, Autonomous driving, LiDAR BibRef

Gao, Y.L.[Yi-Lin], Mu, S.Y.[Shi-Yi], Xu, S.G.[Shu-Gong],
Uni-EPM: A Unified Extensible Perception Model Without Labeling Everything,
ITS(26), No. 1, January 2025, pp. 1002-1014.
IEEE DOI 2501
Multitasking, Feature extraction, Decoding, Computational modeling, Autonomous vehicles, Semantics, Training, Incremental learning, panoptic driving perception BibRef

Li, V.[Vladislav], Siniosoglou, I.[Ilias], Karamitsou, T.[Thomai], Lytos, A.[Anastasios], Moscholios, I.D.[Ioannis D.], Goudos, S.K.[Sotirios K.], Banerjee, J.S.[Jyoti S.], Sarigiannidis, P.[Panagiotis], Argyriou, V.[Vasileios],
Enhancing 3D object detection in autonomous vehicles based on synthetic virtual environment analysis,
IVC(154), 2025, pp. 105385.
Elsevier DOI 2502
Augmented reality, Object detection, Scene analysis, Scene understanding, Object recognition, Deep learning, Feature extraction BibRef

Elhassan, M.A.M.[Mohammed A. M.], Zhou, C.J.[Chang-Jun], Zhu, D.L.[Dong-Lin], Adam, A.B.M.[Abuzar B. M.], Benabid, A.[Amina], Khan, A.[Ali], Mehmood, A.[Atif], Zhang, J.[Jun], Jin, H.[Hu], Jeon, S.W.[Sang-Woon],
CSNet: Cross-Stage Subtraction Network for Real-Time Semantic Segmentation in Autonomous Driving,
ITS(26), No. 3, March 2025, pp. 4093-4108.
IEEE DOI Code:
WWW Link. 2503
Feature extraction, Semantics, Semantic segmentation, Real-time systems, Convolution, graph convolution network (GCN) BibRef

Chen, J.W.[Jia-Wei], Song, Q.[Qi], Guo, W.Z.[Wen-Zhong], Huang, R.[Rui],
DSC3D: Deformable Sampling Constraints in Stereo 3D Object Detection for Autonomous Driving,
CirSysVideo(35), No. 3, March 2025, pp. 2794-2805.
IEEE DOI 2503
Object detection, Convolution, Costs, Feature extraction, Annotations, Standards, Point cloud compression, Laser radar, Head, autonomous driving BibRef

Liu, Y.Z.[Ya-Zhou], Chen, H.Q.[Hao-Qi], Lasang, P.[Pongsak], Wu, Z.[Zheng],
Domain-Incremental Semantic Segmentation for Traffic Scenes,
ITS(26), No. 4, April 2025, pp. 5067-5081.
IEEE DOI 2504
Adaptation models, Correlation, Semantic segmentation, Incremental learning, Training, Data models, Semantics, Pipelines BibRef

Park, K.[Keundeok], Ki, D.[Donghwan], Lee, S.[Sugie],
Toward Automated and Comprehensive Walkability Audits with Street View Images: Leveraging Virtual Reality for Enhanced Semantic Segmentation,
PandRS(223), 2025, pp. 78-90.
Elsevier DOI 2504
Urban Analytics, Automated Walkability Audits, Virtual Reality, Street View Image, Semantic Segmentation, Data Fusion BibRef

Kong, L.D.[Ling-Dong], Xu, X.[Xiang], Ren, J.W.[Jia-Wei], Zhang, W.W.[Wen-Wei], Pan, L.[Liang], Chen, K.[Kai], Ooi, W.T.[Wei Tsang], Liu, Z.W.[Zi-Wei],
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving,
PAMI(47), No. 5, May 2025, pp. 3748-3765.
IEEE DOI 2504
Laser radar, Point cloud compression, Cameras, Laser beams, Autonomous vehicles, Annotations, Semisupervised learning, robustness BibRef

Kinoshita, G.[Genki], Nishino, K.[Ko],
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-scene Depth Estimation,
ECCV24(XXIII: 57-73).
Springer DOI 2412
BibRef

Zou, J.[Jian], Huang, T.Y.[Tian-Yu], Yang, G.L.[Guang-Lei], Guo, Z.H.[Zhen-Hua], Luo, T.[Tao], Feng, C.M.[Chun-Mei], Zuo, W.M.[Wang-Meng],
UniM^2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving,
ECCV24(XXII: 296-313).
Springer DOI 2412
BibRef

Zunair, H.[Hasib], Khan, S.[Shakib], Hamza, A.B.[A. Ben],
Rsud20K: a Dataset for Road Scene Understanding in Autonomous Driving,
ICIP24(708-714)
IEEE DOI Code:
WWW Link. 2411
Visualization, Codes, Annotations, Roads, Detectors, Benchmark testing, Image capture, Object detection, road scene understanding, autonomous driving BibRef

Barbato, F.[Francesco], Camuffo, E.[Elena], Milani, S.[Simone], Zanuttigh, P.[Pietro],
Continual Road-Scene Semantic Segmentation Via Feature-Aligned Symmetric Multi-Modal Network,
ICIP24(722-728)
IEEE DOI 2411
Laser radar, Image color analysis, Semantic segmentation, Predictive models, Sensors, Reliability, Scene Understanding BibRef

Min, C.[Chen], Zhao, D.W.[Da-Wei], Xiao, L.[Liang], Zhao, J.[Jian], Xu, X.[Xinli], Zhu, Z.[Zheng], Jin, L.[Lei], Li, J.S.[Jian-Shu], Guo, Y.L.[Yu-Lan], Xing, J.L.[Jun-Liang], Jing, L.P.[Li-Ping], Nie, Y.M.[Yi-Ming], Dai, B.[Bin],
DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving,
CVPR24(15522-15533)
IEEE DOI 2410
Representation learning, Adaptation models, Solid modeling, Tracking, Predictive models, Spatiotemporal phenomena, Scene Understanding BibRef

Yang, H.H.[Hong-Hui], Zhang, S.[Sha], Huang, D.[Di], Wu, X.Y.[Xiao-Yang], Zhu, H.Y.[Hao-Yi], He, T.[Tong], Tang, S.X.[Shi-Xiang], Zhao, H.S.[Heng-Shuang], Qiu, Q.[Qibo], Lin, B.B.[Bin-Bin], He, X.F.[Xiao-Fei], Ouyang, W.L.[Wan-Li],
UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving,
CVPR24(15238-15250)
IEEE DOI 2410
Representation learning, Point cloud compression, Shape, Semantic segmentation, Semantics, Pipelines BibRef

Shin, W.[Wooksu], Choi, D.[Donghyuk], Park, H.[Hancheol], Kim, J.[Jeongho],
Road Object Detection Robust to Distorted Objects at the Edge Regions of Images,
AICity24(7245-7251)
IEEE DOI Code:
WWW Link. 2410
Target tracking, Target recognition, Image edge detection, Computational modeling, Roads, Urban areas, Detectors BibRef

Jiang, P.T.[Peng-Tao], Yang, Y.Q.[Yu-Qi], Cao, Y.[Yang], Hou, Q.[Qibin], Cheng, M.M.[Ming-Ming], Shen, C.H.[Chun-Hua],
Traffic Scene Parsing Through the TSP6K Dataset,
CVPR24(21874-21885)
IEEE DOI Code:
WWW Link. 2410
Instance segmentation, Computational modeling, Semantics, Refining, Urban areas, Focusing, Traffic scene perception, Scene Parsing BibRef

Shi, Y.[Yining], Li, J.[Jiusi], Jiang, K.[Kun], Wang, K.[Ke], Wang, Y.L.[Yun-Long], Yang, M.M.[Meng-Meng], Yang, D.[Diange],
PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving,
3DV24(1219-1228)
IEEE DOI 2408
Training, Surface reconstruction, Shape, Semantic segmentation, Semantics, Reconstruction algorithms, autonomous driving, semantic scene completion BibRef

Pham, T.[Trung], Maghoumi, M.[Mehran], Jiang, W.L.[Wan-Li], Jujjavarapu, B.S.S.[Bala Siva Sashank], Sajjadi, M.[Mehdi], Liu, X.[Xin], Lin, H.C.[Hsuan-Chu], Chen, B.J.[Bor-Jeng], Truong, G.[Giang], Fang, C.[Chao], Kwon, J.[Junghyun], Park, M.W.[Min-Woo],
NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving,
WACV24(7361-7370)
IEEE DOI 2404
Adaptation models, Computational modeling, Real-time systems, Computational efficiency, Synchronization, Image recognition and understanding BibRef

Deevi, S.A.[Sri Aditya], Lee, C.[Connor], Gan, L.[Lu], Nagesh, S.[Sushruth], Pandey, G.[Gaurav], Chung, S.J.[Soon-Jo],
RGB-X Object Detection via Scene-Specific Fusion Modules,
WACV24(7351-7360)
IEEE DOI Code:
WWW Link. 2404
Training, Fuses, Lighting, Object detection, Sensor fusion, Network architecture, Applications, Autonomous Driving, Robotics BibRef

Schreier, T.[Tim], Renz, K.[Katrin], Geiger, A.[Andreas], Chitta, K.[Kashyap],
On Offline Evaluation of 3D Object Detection for Autonomous Driving,
BRAVO23(4086-4091)
IEEE DOI 2401
BibRef

Rai, S.N.[Shyam Nandan], Cermelli, F.[Fabio], Fontanel, D.[Dario], Masone, C.[Carlo], Caputo, B.[Barbara],
Unmasking Anomalies in Road-Scene Segmentation,
ICCV23(4014-4023)
IEEE DOI 2401
BibRef

Breitenstein, J.[Jasmin], Heidecker, F.[Florian], Lyssenko, M.[Maria], Bogdoll, D.[Daniel], Bieshaar, M.[Maarten], Zöllner, J.M.[J. Marius], Sick, B.[Bernhard], Fingscheidt, T.[Tim],
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving,
BRAVO23(3993-4002)
IEEE DOI 2401
BibRef

Lee, H.J.[Hong-Jae], Han, C.W.[Chang-Woo], Yoo, J.S.[Jun-Sang], Jung, S.W.[Seung-Won],
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data,
BRAVO23(4003-4012)
IEEE DOI 2401
BibRef

Yang, L.[Lei], Yu, K.C.[Kai-Cheng], Tang, T.[Tao], Li, J.[Jun], Yuan, K.[Kun], Wang, L.[Li], Zhang, X.Y.[Xin-Yu], Chen, P.[Peng],
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection,
CVPR23(21611-21620)
IEEE DOI 2309
BibRef

Nunes, L.[Lucas], Wiesmann, L.[Louis], Marcuzzi, R.[Rodrigo], Chen, X.[Xieyuanli], Behley, J.[Jens], Stachniss, C.[Cyrill],
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving,
CVPR23(5217-5228)
IEEE DOI 2309
BibRef

Pang, B.[Bo], Xia, H.C.[Hong-Chi], Lu, C.[Cewu],
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving,
CVPR23(5229-5239)
IEEE DOI 2309
BibRef

Li, J.[Jiale], Dai, H.[Hang], Han, H.[Hao], Ding, Y.[Yong],
MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving,
CVPR23(21694-21704)
IEEE DOI 2309
BibRef

Bär, A.[Andreas], Kusuma, D.[Daniel], Fingscheidt, T.[Tim],
Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving,
WAD23(219-229)
IEEE DOI 2309
BibRef

Takahashi, T.[Tomoya], Yashima, S.[Shingo], Ishikawa, K.[Kohta], Sato, I.[Ikuro], Yokota, R.[Rio],
Pixel-level Contrastive Learning of Driving Videos with Optical Flow,
E2EAD23(3180-3187)
IEEE DOI 2309
BibRef

Küppers, F.[Fabian], Schneider, J.[Jonas], Haselhoff, A.[Anselm],
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection,
SafeDrive22(426-442).
Springer DOI 2304
BibRef

Breitenstein, J.[Jasmin], Löhdefink, J.[Jonas], Fingscheidt, T.[Tim],
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving,
AVVision22(633-645).
Springer DOI 2304
BibRef

Liu, H.[Hao], Xu, Z.R.[Zhuo-Ran], Wang, D.[Dan], Zhang, B.F.[Bao-Feng], Wang, G.[Guan], Dong, B.[Bo], Wen, X.[Xin], Xu, X.Y.[Xin-Yu],
PAI3D: Painting Adaptive Instance-prior for 3d Object Detection,
SafeDrive22(459-475).
Springer DOI 2304
BibRef

Gupta, S.[Shubham], Kanjani, J.[Jeet], Li, M.T.[Meng-Tian], Ferroni, F.[Francesco], Hays, J.[James], Ramanan, D.[Deva], Kong, S.[Shu],
Far3Det: Towards Far-Field 3D Detection,
WACV23(692-701)
IEEE DOI 2302
Measurement, Road transportation, Laser radar, Protocols, Philosophical considerations, Detectors, Robotics BibRef

Yang, M.D.[Ming-Dong], Zhou, H.K.[Hong-Kun], Huo, W.J.[Wen-Jun], Ren, G.L.[Guang-Lu],
JDSNet: Joint Detection and Segmentation Network for Real-Time Road Scene Understanding,
ICIVC22(145-151)
IEEE DOI 2301
Image segmentation, Roads, Semantics, Object detection, Multitasking, Real-time systems, Task analysis, object detection, road scene understanding BibRef

Lan, Q.Z.[Qi-Zhen], Tian, Q.[Qing],
Adaptive Instance Distillation for Object Detection in Autonomous Driving,
ICPR22(4559-4565)
IEEE DOI 2212
Adaptation models, Detectors, Object detection, Predictive models, Task analysis, Autonomous vehicles BibRef

Xu, J.Y.[Jian-Yun], Miao, Z.W.[Zhen-Wei], Zhang, D.[Da], Pan, H.Y.[Hong-Yu], Liu, K.X.[Kai-Xuan], Hao, P.[Peihan], Zhu, J.[Jun], Sun, Z.Y.[Zheng-Yang], Li, H.M.[Hong-Min], Zhan, X.[Xin],
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework,
ECCV22(IX:193-209).
Springer DOI 2211
Low latency in detection BibRef

Papaioannidis, C.[Christos], Mademlis, I.[Ioannis], Pitas, I.[Ioannis],
Fast Semantic Image Segmentation for Autonomous Systems,
ICIP22(2646-2650)
IEEE DOI 2211
Training, Image segmentation, Visualization, Image analysis, Semantics, Real-time systems, Hardware, autonomous systems BibRef

Zhao, H.[Haimei], Zhang, J.[Jing], Zhang, S.[Sen], Tao, D.C.[Da-Cheng],
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes,
ECCV22(XXXVIII:708-726).
Springer DOI 2211
BibRef

Najibi, M.[Mahyar], Ji, J.W.[Jing-Wei], Zhou, Y.[Yin], Qi, C.R.[Charles R.], Yan, X.C.[Xin-Chen], Ettinger, S.[Scott], Anguelov, D.[Dragomir],
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving,
ECCV22(XXXVIII:424-443).
Springer DOI 2211
BibRef

Reddy, N.[Nikhil], Singhal, A.[Abhinav], Kumar, A.[Abhishek], Baktashmotlagh, M.[Mahsa], Arora, C.[Chetan],
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions,
ECCV22(XXIX:51-69).
Springer DOI 2211
BibRef

Papadopoulos, S.[Sotirios], Mademlis, I.[Ioannis], Pitas, I.[Ioannis],
Neural vision-based semantic 3D world modeling,
WACVW21(181-190) Autonomous Vehicle Vision
IEEE DOI 2105
Geometry, Solid modeling, Image segmentation, Roads, Semantics BibRef

Hu, S.[Shu], Liu, C.H.[Chun-Hao], Dutta, J.[Jayanta], Chang, M.C.[Ming-Ching], Lyu, S.W.[Si-Wei], Ramakrishnan, N.[Naveen],
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems,
WAD22(4389-4397)
IEEE DOI 2210
Training, Object detection, Predictive models, Feature extraction BibRef

Su, Z.[Zhaoen], Wang, C.[Chao], Bradley, D.[David], Vallespi-Gonzalez, C.[Carlos], Wellington, C.[Carl], Djuric, N.[Nemanja],
Convolutions for Spatial Interaction Modeling,
CVPR22(6573-6582)
IEEE DOI 2210
Tracking, Navigation, Computational modeling, Predictive models, Graph neural networks, Complexity theory, Navigation and autonomous driving BibRef

Li, P.X.[Pei-Xuan], Jin, J.[Jieyu],
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving,
CVPR22(3875-3884)
IEEE DOI 2210
Aggregates, Object detection, Detectors, Benchmark testing, Transformers, Real-time systems, 3D from single images, Motion and tracking BibRef

Chen, Y.N.[Yi-Nan], Dai, H.[Hang], Ding, Y.[Yong],
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving,
CVPR22(877-887)
IEEE DOI 2210
Degradation, Convolution, Adaptive filters, Detectors, Benchmark testing, Feature extraction, Recognition: detection, Navigation and autonomous driving BibRef

Martínez, J.A.[Javier Albaráñez], Llopis-Ibor, L.[Laura], Hernández-García, S.[Sergio], de Luelmo, S.P.[Susana Pineda], Hernández-Ferrándiz, D.[Daniel],
A Case of Study on Traffic Cone Detection for Autonomous Racing on a Jetson Platform,
IbPRIA22(629-641).
Springer DOI 2205
BibRef

Sless, L., Shlomo, B.E., Cohen, G., Oron, S.,
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation,
CVRSUAD19(867-875)
IEEE DOI 2004
image segmentation, learning (artificial intelligence), optical radar, radar free space BibRef

Wang, Z., Ding, S., Li, Y., Zhao, M., Roychowdhury, S., Wallin, A., Sapiro, G., Qiu, Q.,
Range Adaptation for 3D Object Detection in LiDAR,
ADW19(2320-2328)
IEEE DOI 2004
object detection, optical radar, radar detection, point cloud annotation, autonomous driving BibRef

Meyer, G.P.[Gregory P.], Laddha, A.[Ankit], Kee, E.[Eric], Vallespi-Gonzalez, C.[Carlos], Wellington, C.K.[Carl K.],
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving,
CVPR19(12669-12678).
IEEE DOI 2002
BibRef

Wu, Y., Pang, Y., Gao, B., Han, J.,
Complementary Features with Reasonable Receptive Field for Road Scene 3D Object Detection,
ICIP19(3905-3909)
IEEE DOI 1910
3D object detection, lidar, deep learning, complementary features BibRef

Saleem, N.H., Chien, H., Klette, R.,
Stixel optimization: Representing challenging on-road scenes,
IVCNZ17(1-6)
IEEE DOI 1902
dynamic programming, image segmentation, object detection, stereo image processing, ground obstacles, Stixel optimization, Stereo vision BibRef

John, V., Kidono, K., Guo, C., Tehrani, H., Mita, S., Ishimaru, K.,
Fast road scene segmentation using deep learning and scene-based models,
ICPR16(3763-3768)
IEEE DOI 1705
Feature extraction, Image color analysis, Image segmentation, Machine learning, Neural networks, Roads, Semantics BibRef

Ye, X.Q.[Xiu-Qing], Fan, C.F.[Cheng-Fa], Gu, W.K.[Wei-Kang],
KRUS: A Knowledge-Based Road Scene Understanding System,
ICPR98(Vol I: 731-733).
IEEE DOI 9808
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Airplane Obstacles, Collision Detection, Sense and Avoid .