L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras

As neuromorphic technology is maturing, its appli- cation 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 cam- era intermediaries and/or highly-accurate hand measurements. Code: https://github.com/kev-in-ta/l2e