Dec 27, 2020 · In this paper, we propose a novel online self-calibration approach for Light Detection and Ranging (LiDAR) and camera sensors.
(1) LCCNet is a novel end-to-end learning network for LiDAR-Camera extrinsic self-calibration. The network consists of three parts: feature extraction network, ...
We propose an online LiDAR-Camera Self-calibration Network (LCCNet), different from the previous CNN-based methods. LCCNet can be trained end-to-end.
Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration Using Cost Volume Network”. A video of the demonstration of the ...
(1) LCCNet is a novel end-to-end learning network for LiDAR-Camera extrinsic self-calibration. The network consists of three parts: feature extraction network, ...
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This paper proposes a novel CNN-based LiDAR-camera extrinsic calibration algorithm named CFNet and decides that a correlation layer should be used to provide ...
We propose an online LiDAR-Camera Self-calibration Network (LCCNet), different from the previous CNN-based methods. LCCNet can be trained end-to-end.
This paper proposes a novel online self-calibration approach for LiDAR and camera sensors that exploits the cost volume inspired by the PWC-Net for feature ...
LCCNet [29] suggests building a cost volume using the dot product of image and point cloud projection features and trains the network using distance errors ...
Jan 1, 2021 · Lidar and Camera Self-Calibration using CostVolume Network by Xudong Lv et al. r/arxiv_daily - Lidar and Camera Self-Calibration using ...