Poses as Queries: End-to-End Image-to-LiDAR Map Localization With Transformers-Reference-Cited by-同舟云学术

Poses as Queries: End-to-End Image-to-LiDAR Map Localization With Transformers

Published:2024-01 Issue:1 Volume:9 Page:803-810
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Miao Jinyu¹^ORCID,Jiang Kun¹^ORCID,Wang Yunlong¹^ORCID,Wen Tuopu¹^ORCID,Xiao Zhongyang²^ORCID,Fu Zheng¹^ORCID,Yang Mengmeng¹^ORCID,Liu Maolin¹^ORCID,Huang Jin¹^ORCID,Zhong Zhihua¹,Yang Diange¹^ORCID

Affiliation:

1. School of Vehicle and Mobility, Tsinghua University, Beijing, China

2. Autonomous Driving Division of NIO Inc., Beijing, China

Funder

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10320104/10333977.pdf?arnumber=10333977

Reference25 articles.

1. Crowdsourced Road Semantics Mapping Based on Pixel-Wise Confidence Level

2. A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation

3. Random sample consensus

4. Generalized-ICP

5. The normal distributions transform: a new approach to laser scan matching

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1. VioLA: Aligning Videos to 2D LiDAR Scans;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13