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 ...

Researchers showed that their new hyperspectral Raman imaging lidar system can detect and identify various types of plastics from 6 meters away. The plastic sample they tested (pictured) has a ...

A new hyperspectral Raman imaging lidar system can remotely detect and identify various types of plastics, which could help address the critical issue of plastic pollution in the ocean by ...

TL;DR: PIN-SLAM is a full-fledged implicit neural LiDAR SLAM system including odometry, loop closure detection, and globally consistent mapping Globally consistent point-based implicit neural (PIN) ...

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.