Paper
1 December 2023 Overview of intelligent vehicle perception
Yanchen Li, Bohang Liu, Shuai Zhang, Zhiyu Wang, Yang Liu, Hongtao Zhai, Qing Li, Shishu Zhao, Kai Zhen
Author Affiliations +
Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129400R (2023) https://doi.org/10.1117/12.3011064
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China
Abstract
In recent years, intelligent vehicles have been at the center of research in automotive engineering and the future direction of the automotive industry, and are gradually showing a trend towards practicality. Excellent environmental perception and detection capability is the prerequisite and foundation for the normal operation of driverless vehicles, which directly affects the realisation of subsequent planning and decision-making, control execution and other advanced functions. This paper introduces the development status of intelligent vehicles at home and abroad, studies the current research status of mainstream perception algorithms, analyses the technical challenges encountered in perception for intelligent vehicles in urban roads, and illustrates the development goal of establishing efficient and reliable environmental perception algorithms in complex scenarios.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yanchen Li, Bohang Liu, Shuai Zhang, Zhiyu Wang, Yang Liu, Hongtao Zhai, Qing Li, Shishu Zhao, and Kai Zhen "Overview of intelligent vehicle perception", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129400R (1 December 2023); https://doi.org/10.1117/12.3011064
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KEYWORDS
Target detection

Autonomous vehicles

Detection and tracking algorithms

Point clouds

Deep learning

Autonomous driving

Evolutionary algorithms

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