Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction

Xinshuo Weng; Boris Ivanovic; Kris Kitani; Marco Pavone

doi:10.1109/CVPR52688.2022.00646

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction

Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022
Publisher	IEEE Computer Society
Pages	6563-6572
Number of pages	10
ISBN (Electronic)	9781665469463
DOIs	https://doi.org/10.1109/CVPR52688.2022.00646
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022 - New Orleans, United States Duration: Jun 19 2022 → Jun 24 2022

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	2022-June
ISSN (Print)	1063-6919

Conference

Conference	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022
Country/Territory	United States
City	New Orleans
Period	6/19/22 → 6/24/22

ASJC Scopus Subject Areas

Software
Computer Vision and Pattern Recognition

Keywords

Motion and tracking
Navigation and autonomous driving

Access to Document

10.1109/CVPR52688.2022.00646

Cite this

Weng, X., Ivanovic, B., Kitani, K., & Pavone, M. (2022). Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. In Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022 (pp. 6563-6572). (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2022-June). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.00646

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. / Weng, Xinshuo; Ivanovic, Boris; Kitani, Kris et al.
Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, 2022. p. 6563-6572 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Weng, X, Ivanovic, B, Kitani, K & Pavone, M 2022, Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. in Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, IEEE Computer Society, pp. 6563-6572, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, United States, 6/19/22. https://doi.org/10.1109/CVPR52688.2022.00646

Weng X, Ivanovic B, Kitani K, Pavone M. Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. In Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society. 2022. p. 6563-6572. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). doi: 10.1109/CVPR52688.2022.00646

Weng, Xinshuo ; Ivanovic, Boris ; Kitani, Kris et al. / Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, 2022. pp. 6563-6572 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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keywords = "Motion and tracking, Navigation and autonomous driving",

author = "Xinshuo Weng and Boris Ivanovic and Kris Kitani and Marco Pavone",

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Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this