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apollo-contrib

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

auto-complete-graph

a method to integrate an emergency map into a robot map, so that the robot can plan its way toward places it has not yet explored.

autoware

Open-source software for urban self-driving mobility

autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

bifuse

[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

blam

datasets

Real World Datasets for Autonomous Navigation

deep_3d_descriptor

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

eagleye

Precise localization based on GNSS and IMU.

fast-rcnn

Fast R-CNN

flexmap_fusion

ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion

franksvelodynealgos

Implementation of my PhD thesis, see http://d-nb.info/1034865692/34

hdl_graph_slam

3D LIDAR-based Graph SLAM

jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

learningbycheating

Driving in CARLA using waypoint prediction and two-stage imitation learning

lecture_ai_in_automotive_technology

This is the github Repository that belongs to the lecture "Artificial Intelligence in Automotive Technology" from the Institute of Automotive Technology of the Technical University of Munich

lego-loam

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

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidar_cloud_to_image

Conversion from 3D LiDAR pointcloud to images

lidar_hd_ground_mapping

HD ground mapping by accumulation of scan data

lidar_image_feature_points

Extraction of several feature points/descriptors from LiDAR images

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

mapentropy

Computes the *Mean Map Entropy* and the *Mean Plane Variance* of a point cloud.

mcl_3dl

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

mrs_laser_map

Local Multiresolution Grids for Efficient 3D Laser Mapping and Localization

pcl

Point Cloud Library (PCL)