In this paper, a method of fusing distance information and camera data is presented, the objective being that of combining LIDAR measurements with the output ...
Abstract — In this paper, a method of fusing distance information and camera data is presented, the objective being that of combining LIDAR measurements ...
May 10, 2024 · In this paper, we discuss two proposed deep learning methods named M2-Fusion and ST-MVDNet to integrate lidar and radar data analysis in object detection for ...
Oct 4, 2024 · We present a novel approach that leverages Non-Line-of-Sight (NLOS) sensing using single-photon LiDAR to improve visibility and enhance autonomous navigation.
Mar 20, 2023 · A lidar sensor uses a laser pulse to create a 3D representation of a scene. The laser pulse hits an object, reflects back, and then the sensor ...
Missing: Enhancing | Show results with:Enhancing
A navigation method to learn the end-to-end control policy using the CNN model to directly generate the velocity and angular rates from the current observation ...
May 1, 2022 · In this paper, we proposed a method of semantic segmentation of point cloud which is realized by convolutional neural network.
Missing: navigation. | Show results with:navigation.
Aug 6, 2024 · By integrating LiDAR sensor data with DRL algorithms, robots were able to navigate towards targets while avoiding obstacles. Enhancements in the ...
The purpose of this study is to assess the efficacy of existing human movement tracking techniques for digital twins in real world environments.
Sep 2, 2024 · Neural networks (NNs) and similar machine learning tools may be used in terrain and road identification. Road classification with LiDAR spacial ...