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3d_slam_tools

Tools to work along side with LOAM 3D lidar slam and Octomaping

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

aloam

aloam

assuremappingtools

Desktop based tool for viewing, editing and saving road network maps for autonomous vehicle platforms such as Autoware.

asv

Autonomous Surface Vehicles

auto_mapping_ros

Auto Mapping ROS software for autonomously constructing a High Definition Map using Multiple Robots

automatic-parking-management

Detecting empty spaces in car parking using a camera at lamp-post angle. Video explanation: https://www.youtube.com/watch?v=y1M5dNkvCJc&t

autoparking

Automatic car parking via reinforcement learning

autopilot-tool

This is a tool for software engineers to view,record and analyse data(sensor data and module data) In the process of software development.

autoware

Open-source software for self-driving vehicles

autoware-manuals

Free manuals for Autoware. You are encouraged to join their maintenance!

awesome-3d-detectors

Paperlist of awesome 3D detection methods

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

cam_laser_calib

Calibration of RGB Camera with Hesai LiDAR

carnd-extended-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

cartographer_hokuyo3d

Google Cartographer SLAM Settings for Hokuyo YVT 3D LIDAR.

covgrid_slam

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

datmo

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

detectparking

Automatic Parking Detection

dgcnn

ece276a_pr2_particle_filter_slam

Particle Filter SLAM performed with a LIDAR and IMU dataset obtained from here: https://natanaso.github.io/ece276a/schedule.html

extended-kalman-filter

Sensor fusion algorithm using LiDAR and RADAR data to track moving object, predicting and updating dynamic state estimation.

f110-simulator-multi-agent

f110_simulator with capability to handle multiple cars

fast_gicp

A collection of GICP-based fast point cloud registration algorithms

find_moving_objects

A ROS library that finds moving objects and derives their position and velocity, based on 2D laser scan or 3D point cloud 2 data streams.

fuse

The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.