分析不同激光雷达的测距性能,为自动驾驶系统设计提供选型参考。
Ranging Performance Analysis in Automotive DToF Lidars
- 基于光学设计与测量机制差异,建立测距性能评估方法。
- 对比多款商用激光雷达,揭示性能与成本的权衡关系。
- 适合激光雷达研发及自动驾驶感知系统选型人员阅读。
近年来,实现自动驾驶全自动化已成为产业界与学术界的首要目标。在多种感知技术中,激光雷达(Lidar)凭借光传播原理结合测距与成像模块,具备高精度、高分辨率的优势。激光雷达是集光学、机械、电路与算法于一体的复杂系统,因此存在多种可行方案以适应不同自动驾驶场景。其测距性能直接影响自动驾驶系统的整体表现,亟需对不同激光雷达方案的测距性能进行系统性分析。本文针对不同光学设计、器件选型与测量机制,提出相应的测距性能分析方法,并据此对比了若干典型商用激光雷达的性能。研究结果为兼顾成本与性能的激光雷达设计提供了参考框架,并为优化激光雷达方案提供了重要洞察。
原文摘要 · Abstract (English)
In recent years, achieving full autonomy in driving has emerged as a paramount objective for both the industry and academia. Among various perception technologies, Lidar (Light detection and ranging) stands out for its high-precision and high-resolution capabilities based on the principle of light propagation and coupling ranging module and imaging module. Lidar is a sophisticated system that integrates multiple technologies such as optics, mechanics, circuits, and algorithms. Therefore, there are various feasible Lidar schemes to meet the needs of autonomous driving in different scenarios. The ranging performance of Lidar is a key factor that determines the overall performance of autonomous driving systems. As such, it is necessary to conduct a systematic analysis of the ranging performance of different Lidar schemes. In this paper, we present the ranging performance analysis methods corresponding to different optical designs, device selec-tions and measurement mechanisms. By using these methods, we compare the ranging perfor-mance of several typical commercial Lidars. Our findings provide a reference framework for de-signing Lidars with various trade-offs between cost and performance, and offer insights into the advancement towards improving Lidar schemes.
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