用虚拟环境测试自动驾驶对骑行者安全的响应能力
Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety
- 在虚拟环境中模拟车辆与骑行者交互，实现自动转向刹车
- 提升系统对骑行者突发行为的避撞反应能力
- 适合自动驾驶安全评估与测试团队参考
自动驾驶研究已取得显著进展，但在弱势道路使用者（VRU）安全方面仍存在不足，主要集中于感知、定位或轨迹预测。现有研究缺乏统一的规划与避撞系统，对延迟容错控制策略研究有限，且缺少高效标准化的测试方法。确保VRU安全，尤其是在动态不可预测环境中，仍是自动驾驶的核心挑战。本两年项目聚焦于应用车辆-虚拟环境（VVE）方法，开发、评估并演示针对脆弱道路使用者（如骑行者）的安全功能，通过自动驾驶系统的自动转向与制动实现。本报告为第二年工作成果，重点在前一年基础上优化系统，并特别关注骑行者安全。
原文摘要 · Abstract (English)
Extensive research has already been conducted in the autonomous driving field to help vehicles navigate safely and efficiently. At the same time, plenty of current research on vulnerable road user (VRU) safety is performed which largely concentrates on perception, localization, or trajectory prediction of VRUs. However, existing research still exhibits several gaps, including the lack of a unified planning and collision avoidance system for autonomous vehicles, limited investigation into delay tolerant control strategies, and the absence of an efficient and standardized testing methodology. Ensuring VRU safety remains one of the most pressing challenges in autonomous driving, particularly in dynamic and unpredictable environments. In this two year project, we focused on applying the Vehicle in Virtual Environment (VVE) method to develop, evaluate, and demonstrate safety functions for Vulnerable Road Users (VRUs) using automated steering and braking of ADS. In this current second year project report, our primary focus was on enhancing the previous year results while also considering bicyclist safety.
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