Review of LiDAR, Localization and Object Processing for Safe Autonomous Systems

Autonomous systems need to use a wide range of sensing technologies such as LiDAR, camera and RADAR to provide a robust sensing and perception of the environment. First part of this talk reviews the state-of-the art architectures for LiDARs that goes in detail about lasers, photo diodes, architecture for transmitters and receivers including time to digital conversion, matched filtering for detection and cross-talk avoidance. Second part of the talk reviews the recent groundbreaking work (by Apollo AI) in integrated perception that can be easily embedded into the LiDAR sensors which consists of LiDAR+camera+IMU fusion, robust mapping, localization and object processing for safe autonomous systems.

Speaker: Dr. Kiran Gunnam