autonomousvehicleinternational.com·2026/10/20·Eric Schoedon
为什么重要 提示数据留存不等于决策重建，对自动驾驶安全归因、日志设计与监管取证有参考价值
当一辆自动驾驶汽车发生碰撞时，关键问题不在于它记录了多少数据，而在于这些数据能证明什么。Eric Schoedon 是一位专门从事复杂技术系统检验的独立技术专家，他讨论了调查自动驾驶车辆事故时所面临的挑战。
当一辆自动化车辆卷入严重碰撞时，调查人员面对的是一个看似简单的问题：这辆车当时"知道"什么，它为什么会做出那样的行为？现代车辆可能保存大量数字信息，但恢复这些记录并不等同于重建事故发生前的决策过程。
请继续阅读《FEATURE: The limits of the autonomous vehicle black box》，全文见 ADAS & Autonomous Vehicle International。
When a self-driving vehicle crashes, the key question is not how much data it recorded but what that data can prove.
Eric Schoedon, an independent technical expert specializing in the examination of complex technical systems, discusses the challenges of investigating autonomous vehicle incidents When an automated vehicle is involved in a serious collision, investigators face a deceptively simple question: what did the vehicle know, and why did it behave as it did?
Modern vehicles may retain substantial amounts of digital information, but recovering those records is not the same as reconstructing the decisions that preceded an incident.
Continue reading FEATURE: The limits of the autonomous vehicle black box at ADAS & Autonomous Vehicle International.