Automated Driving Systems (ADSs) are being manufactured at an accelerated rate, leading to improvements in traffic safety, reduced energy consumption, pollution, and congestion. ADS relies on various data streams from onboard sensors, external road infrastructure, and other vehicles to make driving decisions. For effective traffic accident reconstruction, investigators must produce, collect, store, and access real-time data. To ensure meaningful investigation, the data used by investigators must be accurate and maintain its integrity. In this paper, we propose a smart-contract based data integrity and validation tool for automated vehicle incident investigation during road trials, considering uncertainties in a real-world environment.

翻译：自动驾驶系统（ADS）正以加速的态势被制造，从而带来交通安全改善、能耗降低、污染减少及交通拥堵缓解。ADS依赖来自车载传感器、外部道路基础设施及其他车辆的多源数据流来做出驾驶决策。为有效进行交通事故重建，调查人员必须生成、收集、存储并访问实时数据。为确保调查具有意义，调查人员所使用的数据必须准确且保持其完整性。本文提出一种基于智能合约的数据完整性与验证工具，用于道路试验中自动驾驶车辆事故调查，同时考虑真实环境中的不确定性因素。