在CARLA中构建共享自动驾驶冲突场景，研究人车交互安全与效率。
Injecting Conflict Situations in Autonomous Driving Simulation using CARLA
- 基于CARLA构建可扩展的冲突场景工具包
- 模拟人车共驾下多种交通冲突情境
- 适合自动驾驶安全评估与人机交互研究者使用
自动驾驶研究中对冲突场景的仿真至关重要，有助于理解自动化车辆（AV）与人类驾驶员之间的交互。本文在CARLA仿真平台中设计了一系列典型的共享自动驾驶冲突场景，涵盖复杂交通环境下的多方交互。重点分析驾驶员行为与决策过程对整体交通安全与效率的影响。构建了一个简洁且可扩展的场景感知研究工具包，支持各类冲突场景的演示与测试。
原文摘要 · Abstract (English)
Simulation of conflict situations for autonomous driving research is crucial for understanding and managing interactions between Automated Vehicles (AVs) and human drivers. This paper presents a set of exemplary conflict scenarios in CARLA that arise in shared autonomy settings, where both AVs and human drivers must navigate complex traffic environments. We explore various conflict situations, focusing on the impact of driver behavior and decision-making processes on overall traffic safety and efficiency. We build a simple extendable toolkit for situation awareness research, in which the implemented conflicts can be demonstrated.
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