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Multi-object tracking (MOT) is among crucial applications in modern advanced driver assistance systems (ADAS) and autonomous driving (AD) systems.
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2018
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2018
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2019
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2019
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Y. Zeng, C. Ma, M. Zhu, Z. Fan, and X. Yang, “Cross-modal 3D object detection and tracking for auto-driving,” in
2021
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Q. Wang, Y. Chen, Z. Pang, N. Wang, and Z. Zhang, “Immortal tracker: Tracklet never dies,” 2021,
2021
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N. Benbarka, J. Schröder, and A. Zell, “Score refinement for confidence-based 3D multi-object tracking,” in
2021
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2021
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2021
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M.-F. Chang et al., “Argoverse: 3D tracking and forecasting with rich maps,” in
2019
Cited alongside, same era.
X. Weng, J. Wang, D. Held, and K. Kitani, “3D multi-object tracking: A baseline and new evaluation metrics,” in
2020
Cited alongside, same era.
Z. Lu, V. Rathod, R. Votel, and J. Huang, “RetinaTrack: Online single stage joint detection and tracking,” in
2020
Cited alongside, same era.
H. Caesar, V. Bankiti, A. Lang, S. Vora, V. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom, “nuScenes: A multimodal dataset for autonomous driving,” in
2020
Cited alongside, same era.
Z. Zheng, P. Wang, W. Liu, J. Li, R. Ye, and D. Ren, “Distance-IoU loss: Faster and better learning for bounding box regression,” in
2020
Cited alongside, same era.
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine, and V. Vasudevan, “Scalability in perception for autonomous driving: Waymo open dataset,” in
2020
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Y. Du, B. Qin, C. Zhao, Y. Zhu, J. Cao, and Y. Ji, “A novel spatio-temporal synchronization method of roadside asynchronous MMW radar-camera for sensor fusion,”
2021
Cited alongside, same era.
S. Gao, Z. Peng, L. Liu, D. Wang, and Q.-L. Han, “Fixed-time resilient edge-triggered estimation and control of surface vehicles for cooperative target tracking under attacks,”
2022
Closest in time.
J. Nidamanuri, C. Nibhanupudi, R. Assfalg, and H. Venkataraman, “A progressive review-emerging technologies for ADAS driven solutions,”
2022
Closest in time.
T. Gao, H. Pan, and H. Gao, “Monocular 3d object detection with sequential feature association and depth hint augmentation,”
2022
Closest in time.
J. Liu, W. Xiong, L. Bai, Y. Xia, T. Huang, W. Ouyang, and B. Zhu, “Deep instance segmentation with automotive radar detection points,”
2022
Closest in time.
2022
Closest in time.
Y. Huang, J. Du, Z. Yang, Z. Zhou, L. Zhang, and H. Chen, “A survey on trajectory-prediction methods for autonomous driving, ”
2022
Closest in time.
X. Wang, C. Fu, Z. Li, Y. Lai and J. He, “DeepFusionMOT: A 3D multi-object tracking framework based on camera-LiDAR fusion with deep association,”
2022
Closest in time.
G. Guo and S. Zhao, “3D multi-object tracking with adaptive cubature Kalman filter for autonomous driving,”
2022
Closest in time.
J.-N. Zaech, A. Liniger, D. Dai, M. Danelljan, and L. Van Gool, “Learnable online graph representations for 3D multi-object tracking,”
2022
Closest in time.
2022
Closest in time.
T. Wen, Y. Zhang, and N. M. Freris, “PF-MOT: Probability fusion based 3D multi-object tracking for autonomous vehicles,” in
2022
Closest in time.