LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain @KarolMajek

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain @KarolMajek

Uploaded August 2018 | Updated September 2026, 3 weeks ago

Mapping without odometry.
Code: github.com/RobustFieldAutonomyLab/LeGO-LOAM
Sample dataset: github.com/RobustFieldAutonomyLab/jackal_dataset_20170608

I used my own data for this video.

Buy me a coffee: deepdrive.page.link/coffee

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

Calvin F1/10 - 1st at ESWEEK 2018

YOLOv7 640px

Cascade RCNN R101 FPN 20e (MMdetection)

YOLOR ssss s2d

LaneNet-Lane-Detection

MMdetection: Cascade RCNN X101 32x4d FPN 2x

Cascade Mask RCNN R101 FPN 1x (MMdetection)

TensorRT_demos Tiny YOLOv4 416

Detectron2: Cascade Mask RCNN R50 FPN 3x

Cascade Mask RCNN R101 FPN 20e

EfficientDet D1 - Yet Another EfficientDet Pytorch

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain