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 ...

Read more from our Education Pages here — Surface temperatures at the Equator average 31C by day and 23C at sunrise – but here are 10 surprising locations on, or near, the equator that not only ...

CUDA_VISIBLE_DEVICES=0 python scripts/sample.py -d kitti -r models/lidm/kitti/[model_name]/model.ckpt -n 2000 --eval Besides, to train your own LiDAR Diffusion Models ...

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.