Development and Research of Environment Perception Technology in Intelligent Networked Transportation System 2020-01-5152
As an important part of intelligent driving vehicles and intelligent networked transportation systems, environmental perception technology can provide important decision-making basis for the overall planning of intelligent driving vehicles and transportation systems. This paper reviews the current research on environment perception technology in the current intelligent networked transportation system, and analyzes four key research directions and related progress of environmental sensing technologies, including single sensor device, high-precision map, multi-sensor information fusion and vehicle-road collaboration. On the basis of analyzing and summarizing existing related research, this article elaborates the development trend and key directions of future environmental perception technology, including the integration of deep learning, vehicle-road integration, information security and multi-dimensional perception technology related development directions. It is of positive significance for improving the reliability of automatic driving systems and improving traffic safety.
Citation: Wu, J., Tian, L., Zhang, W., Wang, M. et al., "Development and Research of Environment Perception Technology in Intelligent Networked Transportation System," SAE Technical Paper 2020-01-5152, 2020, https://doi.org/10.4271/2020-01-5152. Download Citation
Author(s):
Jingyuan Wu, Liping Tian, Wei Zhang, Miao Wang, Yan Li
Affiliated:
China Communications Information Technology Group Co., Ltd,
Pages: 9
Event:
3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Research and development
Cybersecurity
Machine learning
Planning / scheduling
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