Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which considers the actual situation i.e., the free spaces and the obstacle spaces in the environment to ensure collision-free motion within the available space. The path shape required for a parking maneuver is evaluated from the environmental model, generating a fifth-order polynomial, the corresponding control commands are selected and parameterized to provide motion within the available space. In real-time application, the commands are executed by the car servo-systems which drive the vehicle into the parking place.
Autoware for Jetson AGX Xavier
A Python implementation of global optimization with gaussian processes.
Real-Time Human Detection Using Contour Cues
Self-Driving Car Engineer Program: Path Planning Project
Hoverboard Firmware Hack, forked from NiklasFauth. This version has interface devices for safety and usability.
Matlab bindings for liblsl
A Robust LiDAR-Inertial Odometry for Livox LiDAR
Livox open source detection algorithm
Livox-Free-Space is a fast and effective free-space detection package using Livox LiDAR data.
this is a project of self_driving_car nanodegree from udacity
Automatic pedestrian detection and monitoring system based on Deep Learning.基于深度学习的自动化行人检测（人体检测）和监控（视频监控）系统。
Experimental Paradigms written for PsychoPy
Python sample codes for robotics algorithms.
interfaces and algorithms for event based cameras, lidars, and actuators
Robust model predictive control using tube
Rotating target detection implemented with yolov3.
The Udacity open source self-driving car project
Coursera Open Courses from University of Toronto
Sensor Fusion Nanodegree Project
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
Code for our Spatiotemporal Dynamic Network
Import OpenStreetMap data into Unreal Engine 4
Parallel parking motion planning method in tiny scenarios