A fast probabilistic ego-motion estimation framework for radar-Reference-Cited by-同舟云学术

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A fast probabilistic ego-motion estimation framework for radar

Published:2015-09 Issue: Volume: Page:
ISSN:
Container-title:2015 European Conference on Mobile Robots (ECMR)
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Author:

Rapp Matthias,Barjenbruch Michael,Dietmayer Klaus,Hahn Markus,Dickmann Jurgen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7320493/7324045/07324046.pdf?arnumber=7324046

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radar-Only Odometry and Mapping for Autonomous Vehicles;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. A Robust Robot Perception Framework for Complex Environments Using Multiple mmWave Radars;IEEE Journal of Selected Topics in Signal Processing;2024-04

3. MS-VRO: A Multistage Visual-Millimeter Wave Radar Fusion Odometry;IEEE Transactions on Robotics;2024

4. Toward Land Vehicle Ego-Velocity Estimation Using Deep Learning and Automotive Radars;IEEE Transactions on Radar Systems;2024

5. High-Accuracy True Speed-Over-Ground Measurement Approaches for Rail Vehicles: Comparison of Highly Accurate State of the Art True Speed-Over-Ground Measurement Approaches for Rail Vehicles;IEEE Microwave Magazine;2023-12

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