Development of coaxial 3D-LiDAR systems using MEMS scanners for automotive applications

Yasuo Tanahashi; Yousuke Koutsuka; Risa Tanimoto; Chihiro Kawabata; Shusaku Noda; Kazutoshi Kitano; Koji Takahashi; Eiji Muramatsu

doi:10.1117/12.2323693

14 September 2018 Development of coaxial 3D-LiDAR systems using MEMS scanners for automotive applications

Yasuo Tanahashi, Yousuke Koutsuka, Risa Tanimoto, Chihiro Kawabata, Shusaku Noda, Kazutoshi Kitano, Koji Takahashi, Eiji Muramatsu

Author Affiliations +

Proceedings Volume 10757, Optical Data Storage 2018: Industrial Optical Devices and Systems; 107570E (2018) https://doi.org/10.1117/12.2323693
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

In recent years, high-performance environment perception sensors are increasingly expected to realize autonomous driving systems. Light detection and ranging (LiDAR) is one of the most promising sensors due to its high angular resolution and range accuracy. Recently we've developed two types of cost-effective MEMS-LiDAR systems which consist of a single-pair of an emitter, a photodetector and a two-axis MEMS scanner in coaxial optics. The front-facing type takes advantage of telescopic optics to enlarge effective aperture for long range detection. The wide-view type utilizes omni-directional optics to achieve 360-degree panoramic scanning. In this study, we've investigated catadioptric devices and unique scanning MEMS mirrors for compact omni-directional LiDARs. The concept has been experimentally confirmed on a test bench. Here we report on the recent progress and describe the challenges and the prospects for MEMS-LiDAR systems.

Conference Presentation

Citation Download Citation

Yasuo Tanahashi, Yousuke Koutsuka, Risa Tanimoto, Chihiro Kawabata, Shusaku Noda, Kazutoshi Kitano, Koji Takahashi, and Eiji Muramatsu "Development of coaxial 3D-LiDAR systems using MEMS scanners for automotive applications", Proc. SPIE 10757, Optical Data Storage 2018: Industrial Optical Devices and Systems, 107570E (14 September 2018); https://doi.org/10.1117/12.2323693

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