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3d-bat

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

a-loam

Advanced implementation of LOAM

apollo

An open autonomous driving platform

autoware.ai

Open-source software for self-driving vehicles

awesome-3d-detectors

Paperlist of awesome 3D detection methods

awesome-lane-detection

lane detection

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

leetcode-1

LeetCode Problems' Solutions

lego-loam

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

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

lidar_slam_3d

3d lidar slam package.

lili-om

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

lio-sam

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

loam_noted

loam code noted in Chinese（loam中文注解版）

loam_velodyne

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

mrs_laser_map

Local Multiresolution Grids for Efficient 3D Laser Mapping and Localization

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans

object_detection

onnx_trt_deploy

orb_slam

A Versatile and Accurate Monocular SLAM

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

polarseg

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

realtime_occupancy_mapping

rgbdslam_v2

RGB-D SLAM for ROS

segmap

A map representation based on 3D segments

semantic-segmentation-editor

Web labelling tool for camera and LIDAR data

slambook

test