AdamShan

ndt_localizer. A simple, clean NDT licalization ROS package.

LaneNetRos. Ros node to use LaneNet to detect the lane in camera

plane_fit_ground_filter. A point cloud ground filter based on ground plane fitting

VoxelNetRos. implement the VoxelNet with ROS, using Kitti data to test

cnn_seg_lidar. Real time 3D semantic segmentation for Lidar, Ros based project

SqueezeSeg_Ros. This is a ros package that implement the SqueezeSeg

EasyPointPillars. easy and simple way to train, export and deploy pointpillars for 3D detection

ad_with_lanelet2. sample of ad system to use lanelet2 framework

lidar_ground_filter. This is a lidar ground filter ros node

SC-LeGO-LOAM. LiDAR SLAM: Scan Context + LeGO-LOAM

tl_detector. train your traffic light detector with Lisa dataset and tensorflow object detection API in both GPU and Google TPU

Autoware. Open-Source To Self-Driving.

Awesome-Autonomous-Driving.

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

apollo-ros. clone from apollo_ros_bridge, enable to convert the image to ros

Ultra-Fast-Lane-Detection. Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Highway-Path-Planner. A highway path planner based on finite state machine and spline

LiDAR-annotator. LiDAR annotation tool using ray tracing and bounding boxes.

mapping_collection. collection of HD mapping open source tools

lanenet-lane-detection-py2. Modification of the lanenet-lane-detection project for python2 execution

SFND_Lidar_Obstacle_Detection. C++

dslab_ros_tutorial. a very simple ros node for dslab lesson

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

mindvision_usb_node. the ros node for MindVision Camera

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

SensorsCalibration. OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

HuskyPractice. This is a ros simple code for learning

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

PointPillars_MultiHead_40FPS. A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

can_control. A ros node for autonomous car can control

segmenters_lib. The LiDAR segmenters library, for segmentation-based detection.

path_planner. Hybrid A* Path Planner for the KTH Research Concept Vehicle

CarND-Unscented-Kalman-Filter-Project. Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

semantic-kitti-api. SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

lidar_imu_calib-1. C++

rviz_cloud_annotation. Point cloud annotation tool based on RViz

CarND-MPC-Project. CarND Term 2 Model Predictive Control (MPC) Project

rosbag_editor. Create a rosbag from a given one, using a simple GUI

imu_tools. ROS tools for IMU devices

hdl_localization. Real-time 3D localization using a (velodyne) 3D LIDAR

PointPillars-TF. PointPillars implementation using TensorFlow.

small_gicp. Efficient and parallel algorithms for point cloud registration [C++, Python]

LaneDetect. a c++ lane detector

Recent-Stars-2021. 🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

point-cloud-annotation-tool. C++

PythonRobotics. Python sample codes for robotics algorithms.

robot_localization. robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

kalibr. The Kalibr visual-inertial calibration toolbox

scancontext. Global LiDAR descriptor for place recognition and long-term localization

lidar-bonnetal. Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

UKF_Test. This is my learning code of unscented kalman filter

utm_projector. A ros node for longlat to utm xyz projection (based on proj4)

livox_cloud_undistortion. This project is used for lidar point cloud undistortion.

FAST_LIO_SLAM. LiDAR SLAM = FAST-LIO + Scan Context

adams_cuda_learn. my learning notes about cuda programming

LVI-SAM. LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

mld_crf. Multi-lane detection in urban driving environments using conditional random fields

2.5D_DATMO. 2.5D Grid-based Detection and Tracking of Moving Objects (DATMO)

iscloam. Intensity Scan Context based full SLAM implementation for autonomous driving.