Despite the presence of the classification task in many different benchmark datasets for perception in the automotive domain, few efforts have been undertaken to define consistent classification requirements. This work addresses the topic by proposing a structured method to generate a classification structure. First, legal categories are identified based on behavioral requirements for the vehicle. This structure is further substantiated by considering the two aspects of collision safety for objects as well as perceptual categories. A classification hierarchy is obtained by applying the method to an exemplary legal text. A comparison of the results with benchmark dataset categories shows limited agreement. This indicates the necessity for explicit consideration of legal requirements regarding perception.

提出了一种结构化的方法来生成分类结构，通过考虑车辆的行为需求来确定合法类别，进而通过考虑对象的碰撞安全和感知类别的两个方面来进一步验证该结构。将该方法应用于一个示例性的法律文本，获取到了一个分类层次结构；将结果与基准数据集的类别进行比较，结果显示一致性有限。这表明有必要明确考虑感知方面的法律要求。

建立自动驾驶的系统分类需求