一种面向盲区的自动驾驶车辆性能测试方法

By adopting a two-stage testing method, the limitations of traditional blind spot testing methods are overcome, enabling comprehensive, accurate, and efficient testing of autonomous vehicles in blind spot scenarios, while taking into account performance evaluation in both non-emergency and emergency situations.

CN117330093BActive Publication Date: 2026-07-17TONGJI UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TONGJI UNIV
Filing Date
2023-09-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional blind spot testing methods for autonomous vehicles have limitations. They cannot accurately assess the safety and intelligence of different vehicles in blind spot scenarios, and the testing efficiency is low, failing to take into account performance in both non-emergency and emergency situations.

Method used

The design employs a two-stage testing method: the first stage involves intelligence testing under non-emergency conditions to calculate the maximum potential risk; the second stage involves safety testing under the most urgent conditions, and the results from both stages are combined for a comprehensive evaluation.

Benefits of technology

It enables comprehensive, accurate, and efficient testing of autonomous vehicles in blind spot scenarios, balancing intelligence in non-emergency situations and safety in the most urgent situations, thus improving the adaptability and versatility of the test.

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Abstract

本发明涉及一种面向盲区的自动驾驶车辆性能测试方法,包括:建立存在感知盲区、不存在实质风险的测试场景,设置被测车辆的初始条件及行驶任务;在非紧急工况下对被测车辆的行驶策略进行智能性测试,并同步计算场景实时潜在最大风险Rpotential;建立存在感知盲区、实质风险最高的测试场景,根据Rpotential计算结果找到最紧急时刻、并在盲区场景中设置VRU的状态,以构建最紧急工况,给被测车辆设置相同的初始条件及行驶任务,在最紧急工况下对被测车辆的行驶策略进行安全性测试;结合非紧急工况下的智能性测试结果和最紧急工况下的安全性测试结果,对被测车辆进行综合评价。与现有技术相比,本发明能够充分、准确和高效地对盲区场景下的自动驾驶车辆进行性能测试。
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