Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2025, Vol. 16 ›› Issue (1): 1-15.DOI: 10.3969/j.issn.1674-8484.2025.01.001

• Review, Progress and Prospects •     Next Articles

Review on testing and evaluation of cognitive abilities for autonomous vehicles

YANG Lan(), ZHAO Xiangmo, WANG Runmin, WANG Zhen, FANG Shan, QU Guangyue   

  1. School of Information Engineering, Chang’an University, Xi’an 710018, China
  • Received:2024-12-13 Revised:2025-02-12 Online:2025-02-28 Published:2025-03-04

Abstract:

Accurate understanding of dynamic traffic scenarios is a crucial manifestation of the intelligence in autonomous vehicle (AV). Therefore, it is essential to validate its effectiveness through comprehensive, rational, and efficient testing and evaluation methods. To keep abreast of the research progress in test and evaluation on the cognitive capabilities of autonomous driving, this paper first delves the core issues existing in the field of AV test from macro, meso and micro perspectives. It explores in depth the cognitive correlations between AV and human driver. Secondly, based on the “pyramid” model architecture for AV test, it comprehensively reviews the latest research findings in key test scenario generation, virtual simulation test, hybrid virtual-real test, real-road test and cognitive capability evaluation. Finally, it highlights the challenges faced in the field of test and evaluation for AV cognitive capabilities and outlines future development trends. This comprehensive review will provide an important reference for the iterative evolution and functional validation of AV technology.

Key words: autonomous vehicle (AV), cognitive ability, test scenario, virtual-real test, performance evaluation

CLC Number: