High-tech LiDAR sensors installed on rail maintenance trains will provide accurate measurements of station platforms used by ...

Abstract: In recent years, the fusion-based classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data has garnered increasing attention from researchers. However, ...

In the 3D-InAus project, researchers from the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE are using a LiDAR laser on a mobile robot, emitting laser pulses to ...

You can install LCDNet locally on your machine, or use the provided Dockerfile to run it in a container. The environment_lcdnet.yml file is meant to be used with ...

New 4D LiDAR Sensor Introduction: Discover Aeva’s next-generation long-range sensor designed to accelerate the industry’s transition to autonomous driving at highway speeds. A live point cloud ...

a LiDAR detector and an RGB camera to see its world much like a human (if you're in need of a more basic introduction, hop to the bottom of the article for a look at the anatomy of a robot vacuum).

2) explore the feasibility of using inverse distance weight interpolation to interpolate footprint spaceborne LiDAR samples. 3) and determine the optimal GEDI footprint as the input predictor of ...

01/Jan/2025, add support for the Unitree L2 LiDAR. 17/Aug/2023, Code released. Feel free to contact me with any questions. We are confident that this work introduced a novel approach to LiDAR SLAM, ...

Most self-driving teams believe that the shortest path to deployable self-driving uses LIDAR, radar and in some cases other sensors. They view it as the shortest and safest path, not the easiest ...

So far, almost every autonomous vehicle we've encountered uses lidar to determine how far away things are, just as the winners of the DARPA Grand Challenges did back in the early 2000s.