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Cameras, Feature extraction, Intelligent vehicles, Radar tracking,
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Decoding, Convolution, Roads, Semantics, Computer architecture, Fuses,
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1910
Sensors, Object detection, Cameras,
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1910
Visual Object Tracking, Lightweight Tracking, Re-detection
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Object detection, Feature extraction, Deep learning, Encoding,
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ICIP18(1313-1317)
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1809
Object detection, Roads, Feature extraction, Automobiles, Training,
Machine learning, Robustness, Object detection, occlusion
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Estimation, Cameras, Roads, Machine learning, Geometry, Laser radar
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2010
Semantics, Cameras, Image segmentation, Convolution, Roads, Distortion,
Training, Deformable convolution, semantic segmentation,
multi-task learning
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FRNet: Factorized and Regular Blocks Network for Semantic
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2204
Convolution, Semantics, Training, Logic gates, Image segmentation,
Real-time systems, Fuses, Semantic segmentation, scene perception
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2205
Real-time systems, Image segmentation, Computational modeling,
Semantics, Task analysis, Feature extraction,
deep convolutional neural networks
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IEEE DOI
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Polarimetric imaging,
Generative modeling: Road-scene analysis,
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Meteorology, Roads, Cameras, Autonomous vehicles, Stokes parameters, Sensors
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Harakeh, A.[Ali],
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2208
Uncertainty, Estimation, Object detection, Probabilistic logic,
Deep learning, Autonomous vehicles, Training,
autonomous driving
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Boisclair, J.[Jonathan],
Kelouwani, S.[Sousso],
Ayevide, F.K.[Follivi Kloutse],
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IEEE DOI
2210
Scattering, Photonics, Meteorology, Imaging, Image segmentation,
Deep learning, Semantics, semantic segmentation
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2210
Object detection, Training, Feature extraction, Task analysis,
Sensors, Detectors, Monocular 3D object detection,
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Chen, J.[Jing],
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2210
Detecting small objects at a distance.
Feature extraction, Point cloud compression, Object detection,
Proposals, Image segmentation, Semantics, Disparity depths,
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Action Recognition Framework in Traffic Scene for Autonomous Driving
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2212
Law enforcement, Pose estimation, Autonomous vehicles, Joints,
Detectors, Roads, Autonomous driving, graph convolutional network,
3D pose estimation
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Lu, M.X.[Meng-Xu],
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MFNet: Multi-Feature Fusion Network for Real-Time Semantic
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IEEE DOI
2212
Semantics, Convolution, Real-time systems, Image segmentation, Roads,
Feature extraction, Task analysis, Semantic segmentation,
multi-feature fusion
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Wang, H.[Hai],
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SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of
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ITS(23), No. 11, November 2022, pp. 21405-21417.
IEEE DOI
2212
Image segmentation, Semantics, Lighting, Meteorology, Roads,
Autonomous vehicles, Annotations, Semantic segmentation,
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ITS(23), No. 11, November 2022, pp. 21505-21514.
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2212
Roads, Convolution, Decoding, Context modeling, Real-time systems,
Image segmentation, Kernel, Road segmentation, horizontal context,
convolutional neural networks
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Hussain, T.[Tanveer],
Ullah, H.[Hayat],
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Hijji, M.[Mohammad],
Bellavista, P.[Paolo],
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Vision-Based Semantic Segmentation in Scene Understanding for
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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
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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
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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
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Musunuri, Y.R.[Yogendra Rao],
Kwon, O.S.[Oh-Seol],
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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],
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2302
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Yang, C.X.[Chen-Xi],
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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],
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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],
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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
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Shi, P.C.[Pei-Cheng],
Qi, H.[Heng],
Liu, Z.Q.[Zhi-Qiang],
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2303
BibRef
Awan, M.[Mehwish],
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Weakly supervised multi-class semantic video segmentation for road
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CVIU(230), 2023, pp. 103664.
Elsevier DOI
2303
Semantic video segmentation, Weakly supervised learning,
Weakly supervised semantic segmentation,
Joint classification and segmentation learning
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Zhang, Y.[Yan],
Liu, K.[Kang],
Bao, H.[Hong],
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Autonomous Driving,
RS(15), No. 6, 2023, pp. 1580.
DOI Link
2304
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Li, C.J.[Cui-Jin],
Qu, Z.[Zhong],
Wang, S.Y.[Sheng-Ye],
PerspectiveNet: An Object Detection Method With Adaptive Perspective
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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
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Breitenstein, J.[Jasmin],
Löhdefink, J.[Jonas],
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Joint Prediction of Amodal and Visible Semantic Segmentation for
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AVVision22(633-645).
Springer DOI
2304
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Liu, H.[Hao],
Xu, Z.[Zhuoran],
Wang, D.[Dan],
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Wang, G.[Guan],
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PAI3D: Painting Adaptive Instance-prior for 3d Object Detection,
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Springer DOI
2304
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Gupta, S.[Shubham],
Kanjani, J.[Jeet],
Li, M.T.[Meng-Tian],
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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
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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
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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
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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
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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
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Zhao, H.[Haimei],
Zhang, J.[Jing],
Zhang, S.[Sen],
Tao, D.C.[Da-Cheng],
JPerceiver: Joint Perception Network for Depth, Pose and Layout
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ECCV22(XXXVIII:708-726).
Springer DOI
2211
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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
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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
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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
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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
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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
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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
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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],
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Hernández-Ferrándiz, D.[Daniel],
A Case of Study on Traffic Cone Detection for Autonomous Racing on a
Jetson Platform,
IbPRIA22(629-641).
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2205
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Sless, L.,
Shlomo, B.E.,
Cohen, G.,
Oron, S.,
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar
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CVRSUAD19(867-875)
IEEE DOI
2004
image segmentation,
learning (artificial intelligence), optical radar,
radar free space
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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
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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
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Ye, X.Q.[Xiu-Qing],
Fan, C.F.[Cheng-Fa],
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KRUS: A Knowledge-Based Road Scene Understanding System,
ICPR98(Vol I: 731-733).
IEEE DOI
9808
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Airplane Obstacles, Collision Detection, Sense and Avoid .