15.3.3.7.7 Road Scene, General Analysis

Chapter Contents (Back)
Object Detection. Road Scene. road-scene.

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.[Jiucheng], 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


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

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 .


Last update:Jan 30, 2024 at 20:33:16