Research on Intelligent Evaluation Method of High Order Advanced Driving Assistance System Based on Target Object Information

This paper innovatively proposes an intelligent evaluation method for high-order driving assistance systems based on target object information to address the shortcomings of the evaluation method. Firstly, this article analyzes the advantages of introducing LiDAR into intelligent vehicle testing systems, and proposes an advanced evaluation method for the intelligence of driving assistance systems based on the construction and acquisition scheme of intelligent vehicle integrated testing systems. The evaluation method is validated and proven feasible for two typical urban traffic scenarios: front vehicle entry and following stop start. The evaluation method and verification results proposed in the study are not only of great significance for improving the evaluation system of high-order assisted driving testing, but also provide a foundation for building an intelligent driving scene library based on the typical scene recognition logic proposed in the study.