This is the source code of the feasibility study for Autoware architecture proposal.
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Updated
Sep 16, 2022 - Shell
This is the source code of the feasibility study for Autoware architecture proposal.
Autonomous RC car using Raspberry Pi and ANN
Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.
Autonomous car simulator (based on JavaScript & WebGL) implemented by fuzzy control system, genetic algorithm and particle swarm optimization.
基于激光传感器实现了简易的自主导航demo-开源自主导航小车项目(mick)
An autonomous vehicle written in python
Self parking with reinforcement learning
Ros package for basic autonomous lane tracking and object detection
An open source autonomous driving stack by San Jose State University Autonomous Driving Team
Lane detection and classification in an end-to-end Deep Learning fashion
Build your own (Level 3) Self Driving Vehicle capable of the following features, 1) Autonomously navigate through the custom built track. 2) Obey the road speed limits.
Platform for small-scale self-driving vehicles.
Deep learning based lane/freespace detector embedded in ROS node (built for UC3M LSI)
Autonomous RC Car powered by a Convoluted Neural Network implemented in Python with Tensorflow
Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
A macroscopic multivehicle tesbed and hardware-in-the-loop simulator for autonomous driving
TuSimple lane detection dataset addon with class information.
ROS Package for Autonomous Navigation for Differential drive robots
Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional neural network.
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