Leading autonomous vehicle (AV) platforms and testing infrastructures are, unfortunately, proprietary and closed-source. Thus, it is difficult to evaluate how well safety-critical AVs perform and how safe they truly are. Similarly, few platforms exist for much-needed multi-agent analysis. To provide a starting point for analysis of sensor fusion and collaborative & distributed sensing, we design an accessible, modular sensing platform with AVstack. We build collaborative and distributed camera-radar fusion algorithms and demonstrate an evaluation ecosystem of AV datasets, physics-based simulators, and hardware in the physical world. This three-part ecosystem enables testing next-generation configurations that are prohibitively challenging in existing development platforms.
翻译:不幸的是,主要自主飞行器平台和测试基础设施是专有和封闭来源的,因此难以评价安全临界AV的性能和真正安全性。同样,很少有平台可用于进行急需的多试剂分析。为了提供一个分析传感器聚合和协作及分布感测的起点,我们设计了一个使用AVstack的无障碍模块化感测平台。我们建立了合作和分布式的照相雷达聚变算法,并展示了AV数据集、物理模拟器和物理世界硬件的评估生态系统。这三部分生态系统使得能够测试在现有发展平台中具有极大挑战性的下一代配置。</s>