L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras
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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
- 2019Event-based Vision: A Surveycited by 1,010
- 2019High Speed and High Dynamic Range Video with an Event Cameracited by 344
- 2021DSEC: A Stereo Event Camera Dataset for Driving Scenarioscited by 297
- 2018The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perceptioncited by 251
- 2019Events-to-Video: Bringing Modern Computer Vision to Event Camerascited by 191
- 2021How to Calibrate Your Event Cameracited by 53
- 2021ESL: Event-based Structured Lightcited by 22
- 2021Modeling dynamic target deformation in camera calibrationcited by 2
Built on by
Citing papers per year: 2023: 3; 2024: 6; 2025: 3; 2026: 3.
15 papers.
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- 2024Recent Event Camera Innovations: A Surveycited by 67
- 2024MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertaintycited by 32
- 2023Event-Free Moving Object Segmentation from Moving Ego Vehiclecited by 8
- 2024UniCal: Unified Neural Sensor Calibrationcited by 8
- 2024MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibrationcited by 7
- 2024LiDAR-Event Stereo Fusion with Hallucinationscited by 6
- 2023Learning to Estimate Two Dense Depths from LiDAR and Event Datacited by 5
- 2023Event Camera and LiDAR based Human Tracking for Adverse Lighting Conditions in Subterranean Environmentscited by 3
- 2024Event-based Sensor Fusion and Application on Odometry: A Surveycited by 2
- 2025One target to align them all: LiDAR, RGB and event cameras extrinsic calibration for Autonomous Drivingcited by 1
- 2025DELTA: Dense Depth from Events and LiDAR using Transformer's Attentioncited by 0
- 2025Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systemscited by 0
- 2026Neuromorphic Object Detection: An In-Depth Study and Future Directions26 Jul 2026
- 2026LEAR: Learning Edge-Aware Representations for Event-to-LiDAR Localization2 Mar 2026
- 2026LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration25 Feb 2026
- 2025One target to align them all: LiDAR, RGB and event cameras extrinsic calibration for Autonomous Driving15 Nov 2025
- 2025Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systems18 Aug 2025
- 2025DELTA: Dense Depth from Events and LiDAR using Transformer's Attention5 May 2025
- 2024Event-based Sensor Fusion and Application on Odometry: A Survey20 Oct 2024
- 2024UniCal: Unified Neural Sensor Calibration27 Sep 2024
- 2024Recent Event Camera Innovations: A Survey24 Aug 2024
- 2024LiDAR-Event Stereo Fusion with Hallucinations8 Aug 2024
- 2024MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration28 May 2024
- 2024MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty23 Jan 2024
- 2024Recent Event Camera Innovations: A Surveycited by 67
- 2024MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertaintycited by 32
- 2023Event-Free Moving Object Segmentation from Moving Ego Vehiclecited by 8
- 2024UniCal: Unified Neural Sensor Calibrationcited by 8
- 2024MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibrationcited by 7
- 2024LiDAR-Event Stereo Fusion with Hallucinationscited by 6
- 2023Learning to Estimate Two Dense Depths from LiDAR and Event Datacited by 5
- 2023Event Camera and LiDAR based Human Tracking for Adverse Lighting Conditions in Subterranean Environmentscited by 3
- 2024Event-based Sensor Fusion and Application on Odometry: A Surveycited by 2
- 2025One target to align them all: LiDAR, RGB and event cameras extrinsic calibration for Autonomous Drivingcited by 1
- 2025DELTA: Dense Depth from Events and LiDAR using Transformer's Attentioncited by 0
- 2025Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systemscited by 0
12 most cited of 15 All 15 (JSON)
- 2026Neuromorphic Object Detection: An In-Depth Study and Future Directions26 Jul 2026
- 2026LEAR: Learning Edge-Aware Representations for Event-to-LiDAR Localization2 Mar 2026
- 2026LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration25 Feb 2026
- 2025One target to align them all: LiDAR, RGB and event cameras extrinsic calibration for Autonomous Driving15 Nov 2025
- 2025Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systems18 Aug 2025
- 2025DELTA: Dense Depth from Events and LiDAR using Transformer's Attention5 May 2025
- 2024Event-based Sensor Fusion and Application on Odometry: A Survey20 Oct 2024
- 2024UniCal: Unified Neural Sensor Calibration27 Sep 2024
- 2024Recent Event Camera Innovations: A Survey24 Aug 2024
- 2024LiDAR-Event Stereo Fusion with Hallucinations8 Aug 2024
- 2024MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration28 May 2024
- 2024MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty23 Jan 2024
12 newest of 15 All 15 (JSON)