A Hierarchical LiDAR Simulation Framework Incorporating Physical Attenuation Response in Autonomous Driving Scenarios
Author:
Affiliation:
1. Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, China
2. School of Computer and Electronics Engineering, University of Essex, Colchester, U.K
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Fujian Province University Industry-Academic Cooperation Project of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6979/10543072/10401019.pdf?arnumber=10401019
Reference47 articles.
1. Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments
2. Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions
3. Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
4. Paving the roadway for safety of automated vehicles: An empirical study on testing challenges
5. Artificial intelligence test: a case study of intelligent vehicles
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