L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras
Ta, Kevin, Bruggemann, David, Brödermann, Tim, Sakaridis, Christos, Van Gool, Luc
–arXiv.org Artificial Intelligence
Abstract--As neuromorphic technology is maturing, its application to robotics and autonomous vehicle systems has become an area of active research. In particular, event cameras have emerged as a compelling alternative to frame-based cameras in low-power and latency-demanding applications. To enable event cameras to operate alongside staple sensors like lidar in perception tasks, we propose a direct, temporally-decoupled extrinsic calibration method between event cameras and lidars. The high dynamic range, high temporal resolution, and low-latency operation of event cameras are exploited to directly register lidar laser returns, allowing information-based correlation methods to optimize for the 6-DoF extrinsic calibration between the two sensors. This paper presents the first direct calibration method between event cameras and lidars, removing dependencies on frame-based camera intermediaries and/or highly-accurate hand measurements.
arXiv.org Artificial Intelligence
Feb-20-2023
- Country:
- Europe (0.46)
- Genre:
- Research Report (0.64)
- Technology:
- Information Technology > Artificial Intelligence
- Representation & Reasoning > Optimization (0.46)
- Robots > Autonomous Vehicles (0.48)
- Vision (1.00)
- Information Technology > Artificial Intelligence