Fast Angle Adaption of a MEMS-Based LiDAR System

Philipp Stelzer1, Andreas Strasser1, Christian Steger1, Alberto Garcia2, Norbert Druml3

  • 1Graz University of Technology
  • 2Infineon Technologies Austria AG
  • 3Infineon Technologies

Details

11:20 - 11:40 | Wed 4 Sep | Room FH 6 | WeB6.5

Session: MEMS/MOEMS Sensors and Actuators for Automotive Applications

Abstract

The amount of Advanced Driver-Assistance Systems (ADAS) in middle-class cars are steadily increasing. Next generation ADAS will undertake control in full automated vehicles. Light Detection And Ranging (LiDAR) will be one of the key enablers for autonomous and highly automated vehicles. The 1D Micro-Electro-Mechanical System (MEMS) Micro-Scanning LiDAR is able to detect obstacles in a predefined Field-of-View (FoV). Future ADAS applications will require to dynamically change FoVs as fast as possible (e.g., quickly switching between long-range narrow FoV and short-range wide FoV). In this paper we introduce a novel system architecture that enables fast angle adaptions of a 1D MEMS Micro-Scanning LiDAR System. This system architecture was implemented in an FPGA prototype to show its feasibility and to evaluate its performance.