Research on the Construction and Evaluation Methods of the Perceptual Space of Unmanned Vehicles

doi:10.12141/j.issn.1000-565X.230777

Journal of South China University of Technology(Natural Science Edition) ›› 2024, Vol. 52 ›› Issue (11): 134-140.doi: 10.12141/j.issn.1000-565X.230777

Special Issue: 2024年智慧交通系统

• Intelligent Transportation System • Previous Articles Next Articles

Research on the Construction and Evaluation Methods of the Perceptual Space of Unmanned Vehicles

WANG Xiaofei¹ WANG Ziqi¹ DING Zhenzhong¹ GUO Yueli² YAO Jiangbei²

^1.School of Civil Engineering and Transportation，South China University of Technology，Guangzhou 510640，Guangdong，China
^2.Guangdong Communication Planning & Design Institute Group Co. ，Ltd. ，Guangzhou 510507，Guangdong，China

Received:2023-12-19 Online:2024-11-25 Published:2024-03-08
About author:王晓飞（1980 —），女，博士，副教授，主要从事公路路线及交通安全研究。E-mail： xiaofciw@scut.edu.cn
Supported by:
the Natural Science Foundation of Guangdong Province(2022A1515011974)

Abstract

Abstract:

The sensor of unmanned vehicles replaces human eyes to perceive the information of road space is an important prerequisite for the safe operation of unmanned vehicles. Therefore, based on the domestic and international research literature research as well as the analysis of relevant software and hardware technologies, this paper analyzed the limitations of the current perception technology of unmanned vehicles, including the recognition range and characteristics of sensors such as LiDAR, camera and millimeter-wave radar. And it collected the real information of the road by using the LiDAR and the combination of navigation system, and further constructed the three-dimensional perception space of the unmanned vehicle with the collected point cloud data, the localization information, and the synchronous positioning and modeling algorithms, which realize the three-dimensional digital model construction of the road. At the same time, the mathematical expression model construction of parameters such as ranging ability, horizontal field of view angle and vertical field of view angle was carried out in the 3D point cloud map, and the spatial coordinate transformation method was utilized to separate the 3D point cloud data within the recognition range of the sensors and convert them to a unified coordinate system. Finally, the Delaunay triangulation method was used to construct a 3D model that can reflect the characteristics of perceptual space, so as to realize the perceptability of 3D perceptual space. In order to verify the practicality and accuracy of this method, this paper tested the algorithm using data collected in the field. The test results show that the method proposed in this paper has good robustness and it can work stably in complex road environments and accurately assess the perceptibility of unmanned vehicles. This research result not only provides a scientific basis for the road design and safety assessment of unmanned vehicles, but also provides strong technical support for the further development and application of unmanned technology.

Key words: unmanned vehicle, laser radar, perceptual space, road safety

CLC Number:

U412.3

WANG Xiaofei, WANG Ziqi, DING Zhenzhong, et al. Research on the Construction and Evaluation Methods of the Perceptual Space of Unmanned Vehicles[J]. Journal of South China University of Technology(Natural Science Edition), 2024, 52(11): 134-140.

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Research on the Construction and Evaluation Methods of the Perceptual Space of Unmanned Vehicles

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