Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning
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Abstract (arXiv)
Motivated by the increasing application of low-resolution LiDAR recently, we target the problem of low-resolution LiDAR-camera calibration in this work. The main challenges are two-fold: sparsity and noise in point clouds. To address the problem, we propose to apply depth interpolation to increase the point density and supervised contrastive learning to learn noise-resistant features. The experiments on RELLIS-3D demonstrate that our approach achieves an average mean absolute rotation/translation errors of 0.15cm/0.33textdegree on 32-channel LiDAR point cloud data, which significantly outperforms all reference methods.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 8 of its 20 references that are in the map. First posted on arXiv 8 Nov 2022.
Builds on
8 of 20 references.
References · 8
- 2020Supervised Contrastive Learningcited by 2,829
- 2017PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volumecited by 968
- 2020RELLIS-3D Dataset: Data, Benchmarks and Analysiscited by 119
- 2020Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Reviewcited by 116
- 2017RegNet: Multimodal Sensor Registration Using Deep Neural Networkscited by 69
- 2021CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networkscited by 14
- 2021SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimatorcited by 7
- 20223D ToF LiDAR in Mobile Robotics: A Reviewcited by 3
Built on by
Citing papers per year: 2023: 4.
4 papers.
- 2023Deep Learning for Camera Calibration and Beyond: A Surveycited by 20
- 2023From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibrationcited by 6
- 2023TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentationcited by 1
- 2023Continuous Online Extrinsic Calibration of Fisheye Camera and LiDARcited by 0
- 2023From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration3 Nov 2023
- 2023Continuous Online Extrinsic Calibration of Fisheye Camera and LiDAR22 Jun 2023
- 2023Deep Learning for Camera Calibration and Beyond: A Survey19 Mar 2023
- 2023TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation16 Feb 2023