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RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model

  • Published:2021 Issue: Volume: Page:1-14
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yin HuanORCID,Chen RunjianORCID,Wang YueORCID,Xiong RongORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Program of Zhejiang Province

Public Welfare Technology Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 22 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. Less is More: Physical-Enhanced Radar-Inertial Odometry;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Degradation Resilient LiDAR-Radar-Inertial Odometry;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization;Applied Sciences;2024-03-08

5. ROAMER: Robust Offroad Autonomy using Multimodal State Estimation with Radar Velocity Integration;2024 IEEE Aerospace Conference;2024-03-02
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