Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry
Author:
Affiliation:
1. University of Illinois Urbana-Champaign, Champaign, Illinois, USA
2. Peking University, Champaign, Illinois, USA
3. University of Illinois Urbana-Champaign, Champaign, Illinois, United States of America
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3643832.3661871
Reference54 articles.
1. Abu-Alrub, N. J., and Rawashdeh, N. A. Radar odometry for autonomous ground vehicles: A survey of methods and datasets. Publisher: arXiv Version Number: 1.
2. Campos C. Elvira R. Rodriguez J. J. G. M. Montiel J. M. and D. Tardos J. ORB-SLAM3: An accurate open-source library for visual visual-inertial and multimap SLAM. 1874--1890.
3. Precise Ego-Motion Estimation with Millimeter-Wave Radar Under Diverse and Challenging Conditions
4. Chen, C., Lu, X., Markham, A., and Trigoni, N. IONet: Learning to cure the curse of drift in inertial odometry. Publisher: arXiv Version Number: 1.
5. RNIN-VIO: Robust Neural Inertial Navigation Aided Visual-Inertial Odometry in Challenging Scenes
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