[HTML][HTML] A survey on deep-learning-based lidar 3d object detection for autonomous driving
LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast
decision-making when driving. The sensor is used in the perception system, especially …
decision-making when driving. The sensor is used in the perception system, especially …
[HTML][HTML] A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds
In the evolving landscape of autonomous driving technology, Light Detection and Ranging
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …
[HTML][HTML] 3D environment Mapping with a variable resolution NDT method
Y Feng, Z Gao, J Zhang, H Shi, Y Xie - Machines, 2022 - mdpi.com
With the continuous development of the 3D LiDAR (Light Detection And Ranging) mapping
algorithm and its application in various fields, the size of the point cloud map becomes a …
algorithm and its application in various fields, the size of the point cloud map becomes a …
MuSLi: a multi sensor LiDAR detection for C-V2X networks
Obstacle detection is a tool adopted in vehicular safety applications, aiming to detect a
moving obstacle in an area of interest with the highest accuracy. Different sensors are used …
moving obstacle in an area of interest with the highest accuracy. Different sensors are used …
3D Point Cloud Map Compression for Connected Intelligent Vehicles
Y Choi, H Baek, J Jeong, K Kim - IEEE Internet Computing, 2023 - ieeexplore.ieee.org
In autonomous vehicles, 3-D point cloud (PCD) maps are widely employed. By matching a
point cloud acquired from a 3-D ranging sensor in real time with the PCD map, the ego …
point cloud acquired from a 3-D ranging sensor in real time with the PCD map, the ego …