Autonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence-Reference-Cited by-同舟云学术

Autonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence

Published:2022-10-01 Issue:10 Volume:30 Page:819-830
ISSN:1225-6382
Container-title:Transaction of the Korean Society of Automotive Engineers
language:en
Short-container-title:KSAE

Author:

Kim Sanmin^ORCID,Kim Youngseok^ORCID,Jeon Hyeongseok^ORCID,Kum Dongsuk^ORCID,Lee Kibeom^ORCID

Funder

Ministry of Science and ICT, South Korea

Institute for Information and communication Technology Planning and evaluation

National Research Foundation of Korea

Publisher

The Korean Society of Automotive Engineers

Subject

Automotive Engineering

Reference45 articles.

1. nuScenes: A Multimodal Dataset for Autonomous Driving

2. Scalability in Perception for Autonomous Driving: Waymo Open Dataset

3. Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

4. J. Houston, G. Zuidhof, L. Bergamini, Y. Ye, L. Chen, A. Jain, S. Omari, V. Iglovikov and Peter Ondruska, “One Thousand and One Hours: Self-driving Motion Prediction Dataset,” arXiv preprint arXiv:2006.14480, 2020.

5. Argoverse: 3D Tracking and Forecasting With Rich Maps

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