论文标题
走向基于MEMS的自适应激光雷达
Towards a MEMS-based Adaptive LIDAR
论文作者
论文摘要
我们提出了概念验证激光雷达设计，该设计允许根据动态指定的测量模式进行自适应实时测量。我们描述了我们的光学设置和校准，可以使用扫描MEMS（微电机机械）镜像快速稀疏深度测量。我们通过在一系列环境中测试超过75个静态和动态场景来验证原型LIDAR设计的功效。我们展示了基于CNN的深度图完成实验，这些实验表明我们的传感器可以实现动态场景的自适应深度感测。
We present a proof-of-concept LIDAR design that allows adaptive real-time measurements according to dynamically specified measurement patterns. We describe our optical setup and calibration, which enables fast sparse depth measurements using a scanning MEMS (micro-electro-mechanical) mirror. We validate the efficacy of our prototype LIDAR design by testing on over 75 static and dynamic scenes spanning a range of environments. We show CNN-based depth-map completion experiments which demonstrate that our sensor can realize adaptive depth sensing for dynamic scenes.
