LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments-Reference-Cited by-同舟云学术

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments

Published:2021 Issue: Volume: Page:380-390
ISSN:2511-1256
Container-title:Experimental Robotics
language:
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Author:

Tagliabue Andrea,Tordesillas Jesus,Cai Xiaoyi,Santamaria-Navarro Angel,How Jonathan P.,Carlone Luca,Agha-mohammadi Ali-akbar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-71151-1_34

Reference37 articles.

1. Agha, A., Mitchell, K.L., Boston, P.: Robotic exploration of planetary subsurface voids in search for life. AGU Fall Meet. Abs. 2019, P41C–3463 (2019)

2. Team costar. https://costar.jpl.nasa.gov/. Accessed 29 June 2020

3. Darpa subterranean challenge. https://subtchallenge.com/. Accessed 29 June 2020

4. Santamaria-Navarro, A., Thakker, R., Fan, D.D., Morrell, B., Agha-mohammadi, A.-A.: Towards resilient autonomous navigation of drones. In: The International Symposium on Robotics Research (2019)

5. Bloesch, M., Omari, S., Hutter, M., Siegwart, R.: Robust visual inertial odometry using a direct EKF-based approach. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2015, pp. 298–304. IEEE (2015)

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