Active velocity estimation using light curtains via self-supervised multi-armed bandits-Reference-Cited by-同舟云学术

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Active velocity estimation using light curtains via self-supervised multi-armed bandits

Published:2024-08 Issue:6 Volume:48 Page:
ISSN:0929-5593
Container-title:Autonomous Robots
language:en
Short-container-title:Auton Robot

Author:

Ancha Siddharth,Pathak Gaurav,Zhang Ji,Narasimhan Srinivasa,Held David

Funder

National Science Foundation

U.S. Air Force

Defense Advanced Research Projects Agency

Manufacturing Futures Institute, Carnegie Mellon University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10514-024-10168-2.pdf

Reference82 articles.

1. Agamennoni, G., Fontana, S., Siegwart, R. Y., & Sorrenti, D. G. (2016). Point clouds registration with probabilistic data association. In 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS) (pp. 4092–4098). IEEE.

2. Amanatides, J., & Woo, A. (1987). A fast voxel traversal algorithm for ray tracing. Eurographics, 87, 3–10.

3. Ancha, S., Pathak, G., Narasimhan, S., & Held, D. (2021). Active safety envelopes using light curtains with probabilistic guarantees. In Proceedings of robotics: Science and systems, virtual. https://doi.org/10.15607/rss.2021.xvii.045

4. Ancha, S., Pathak, G., Zhang, J., Narasimhan, S., & Held, D. (2023). Active velocity estimation using light curtains via self-supervised multi-armed bandits. In Proceedings of robotics: Science and systems, Daegu, Republic of Korea. https://doi.org/10.15607/rss.2023.XIX.097

5. Ancha, S., Raaj, Y., Hu, P., Narasimhan, S. G., & Held, D. (2020). Active perception using light curtains for autonomous driving. In Vedaldi, A., Bischof, H., Brox, T., & Frahm, J.-M. (Eds.), Computer vision—ECCV 2020 (pp. 751–766). Springer.

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