Visual Mapping and Localization System Based on Compact Instance-Level Road Markings With Spatial Uncertainty

Author:

Zhou Yuxuan1ORCID,Li Xingxing1ORCID,Li Shengyu1ORCID,Wang Xuanbin1

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Sino-German Mobility Programme

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

Cited by 7 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. Salience-guided Ground Factor for Robust Localization of Delivery Robots in Complex Urban Environments;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. L-VIWO: Visual-Inertial-Wheel Odometry based on Lane Lines;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Ground-VIO: Monocular Visual-Inertial Odometry With Online Calibration of Camera-Ground Geometric Parameters;IEEE Transactions on Intelligent Transportation Systems;2024

4. Intelligent vehicle localization and navigation based on intersection fingerprint roadmap (IRM) in underground parking lots;Measurement Science and Technology;2023-12-06

5. Online Monocular Lane Mapping Using Catmull-Rom Spline;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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