In the proposed pipeline we tackle the problem of data correction and temporal point cloud fusion and we present an original method for detecting obstacles ...
Abstract—The robust detection of obstacles, on a given road path by vehicles equipped with range measurement devices represents a requirement for many ...
Jan 29, 2021 · This paper proposes a scheme that combines images with LiDAR data in advance and then processes them with neural networks. This solution ...
In the proposed pipeline we tackle the problem of data correction and temporal point cloud fusion and we present an original method for detecting obstacles ...
This paper describes a LIDAR-based perception system for ground robot mobility, consisting of 3D object detection, classification and tracking.
In this paper, we propose a novel data fusion algorithm to combine accurate point clouds with dense but less accurate point clouds obtained from stereo pairs.
Real time object detection using LiDAR and camera fusion ... - Nature
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May 17, 2023 · In this paper, a LiDAR-camera-based fusion algorithm is proposed to improve the above-mentioned trade-off problems by constructing a Siamese network for object ...
Jun 4, 2024 · LiDAR, emerging as a promising solution, provides accurate 3D spatial information through laser-based point cloud generation, offering enhanced ...
Sep 23, 2024 · Our proposed LCANet integrates 2D image features with 3D LiDAR data to generate additional points, improving detection performance for distant ...
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RSN predicts foreground points from range images and applies sparse convolutions on the selected foreground points to detect objects. The lightweight 2D ...