VI-Map: Infrastructure-Assisted Real-Time HD Mapping for Autonomous Driving-Reference-Cited by-同舟云学术

VI-Map: Infrastructure-Assisted Real-Time HD Mapping for Autonomous Driving

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
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Author:

He Yuze¹^ORCID,Bian Chen¹^ORCID,Xia Jingfei¹^ORCID,Shi Shuyao¹^ORCID,Yan Zhenyu¹^ORCID,Song Qun²^ORCID,Xing Guoliang¹^ORCID

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong, China

2. Delft University of Technology, Delft, Netherlands

Funder

Research Grants Council, University Grants Committee

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3570361.3613280

Reference54 articles.

1. Autoware. 2023. The Autoware Foundation - open source for autonomous driving. https://www.autoware.org/. (2023). Autoware. 2023. The Autoware Foundation - open source for autonomous driving. https://www.autoware.org/. (2023).

2. Baidu. 2023. Apollo. https://apollo.auto/. (2023). Baidu. 2023. Apollo. https://apollo.auto/. (2023).

3. Zhibin Bao , Sabir Hossain , Haoxiang Lang , and Xianke Lin . 2022. High-definition map generation technologies for autonomous driving: a review. arXiv preprint arXiv:2206.05400 ( 2022 ). Zhibin Bao, Sabir Hossain, Haoxiang Lang, and Xianke Lin. 2022. High-definition map generation technologies for autonomous driving: a review. arXiv preprint arXiv:2206.05400 (2022).

4. Merging Occupancy Grid Maps From Multiple Robots

5. A robust, multi-hypothesis approach to matching occupancy grid maps

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