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, Computer architecture, 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, Computer architecture, 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.[Xihong],
Yang, Y.[Yin],
Li, J.[Jianxun],
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.[Junfang],
Chen, W.[Wenbai],
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
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
Zhu, Z.J.[Zi-Jian],
Zhang, Y.C.[Yi-Chi],
Chen, H.[Hai],
Dong, Y.P.[Yin-Peng],
Zhao, S.[Shu],
Ding, W.B.[Wen-Bo],
Zhong, J.C.[Jia-Chen],
Zheng, S.[Shibao],
Understanding the Robustness of 3D Object Detection with Bird'View
Representations in Autonomous Driving,
CVPR23(21600-21610)
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.[Zhuoran],
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, Pattern recognition
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, Pattern recognition,
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 Albaráńez],
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 .