mlsanityData to 7 Oct 2026

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

arXiv 2207.01009 ↗First posted 3 Jul 2022cs.CV cs.ROcited by 15

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 8 of its 39 references that are in the map. First posted on arXiv 3 Jul 2022.

Builds on

8 of 39 references.

References · 8

  1. 2019Event-based Vision: A Surveycited by 1,010
  2. 2019High Speed and High Dynamic Range Video with an Event Cameracited by 344
  3. 2021DSEC: A Stereo Event Camera Dataset for Driving Scenarioscited by 297
  4. 2018The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perceptioncited by 251
  5. 2019Events-to-Video: Bringing Modern Computer Vision to Event Camerascited by 191
  6. 2021How to Calibrate Your Event Cameracited by 53
  7. 2021ESL: Event-based Structured Lightcited by 22
  8. 2021Modeling dynamic target deformation in camera calibrationcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 6; 2025: 3; 2026: 3.

15 papers.

Sort: