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ab3dmot

Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020

apollo

An open autonomous driving platform

caffe

Caffe on both Linux and Windows

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

carnd-term1-starter-kit

cascaded-lidar-ground-segmentation

A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC

centerpoint

cpprbnn

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (Nov. 2020) :fire::fire:

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

dynet

DyNet: The Dynamic Neural Network Toolkit

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

ilcc

Intensity-based_Lidar_Camera_Calibration

jhx

learn_c

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lego-loam

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

levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

lidar-obstacle-detection

Lidar Obstacle Detection - Filter(Voxel-Grid filter and Cropping), segment(3D Ransac algorithm), and cluster (3D kd-tree and euclidean clustering) real point cloud data to detect obstacles in a driving environment.

lidar-segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

lidar-segmentation-based-on-range-image

This is a lidar segmentation method based on range image.

lidar_for_ad_references

A list of references on lidar point cloud processing for autonomous driving

lidar_imu_calib

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

lidar_perception

A lidar perception system, including ground-filter, cluster, minbox, tracking and state estimation.

lidar_rcnn

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

lidarroadboundarydetection

An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments

lili-om

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

lins---lidar-inertial-slam

A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter