NIPS 2018 Expo Talk
Dec. 5, 2020
Native camera imaging on LIDAR and novel deep learning enablement
Sponsor: Ouster, Inc.
The emergence of LIDAR as a critical sensing modality for real-time robotics has resulted in a need for computer vision scientists to develop new algorithms to segment, track, and classify point clouds. Progress has been limited by the inability to apply decades of methodologies from camera-based vision due to the novel data formats and structures that conventional LIDAR output. Recent breakthroughs in LIDAR hardware enable camera-like imagery of both ambient and signal data in a rectilinear camera-like grid. This talk will focus on implications for deep learning and feature applications of GPU-enabled camera deep learning algorithms on LIDAR for the first time.