217 Open source projects that are alternatives of or similar to 3d Boundingbox

Automated Driving in NFS using CNN.

Open-source self-driving car based on DonkeyCar and programmable chassis

Scenarios, tutorials and demos for Autonomous Driving

Udacity's Self-Driving Car Nanodegree project files and notes.

BMW iBus .NET MF SDK and hardware

Android OBD-II Reader application that uses pure OBD-II PID's Java API.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

『Assets提取工具』是一款OSX平台上用于将Assets.car或xxx.app中打包的png图片、pdf等资源重新提取出来的开发者工具。Assets.car常见于iOS/Mac/Unity等开发中的资源打包。

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.

Advanced lane detection using computer vision

基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Stanford Code From Cars That Entered DARPA Grand Challenges

GENIVI Development Platform

OBD-II Java API

Arduino car tachometer

Vehicle Detection by Haar Cascades with OpenCV

List of all security codes required to activate Renault car radios.

Differentiable Duckietown

An open autonomous driving platform

Mac上解压Assets.car文件的小工具(支持右键解压)

A reinforcement learning environment for self-driving cars in the browser.

A node.js powered interface for E38/E39/E53 + E6x/E9x BMW vehicles (Client side)

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

CarPark is a small application that will allow you to keep the position of your car in memory just to find it easier and especially faster.

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

A protocol for real-time transfer and visualization of autonomy data

A sample project about car animation in a route

Open-source simulator for autonomous driving research.

Lidar Obstacle Detection

A deep neural network that learns to drive in video games

Self-Driving Car Simulator

A self driving toy car using end-to-end learning

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

A JavaScript deep learning and reinforcement learning library.

真AI人工智能

汽车助手:消费信息的增删改查;消费记录、百分比统计表;百公里油耗曲线图,最低油耗/最高油耗信息

🚙 A Kotlin OBD-II API for reading engine data

无人驾驶的资源列表中文版

ROS package to control an autonomous RC vehicle based on Raspberry Pi3

Install and Configure Common Car Hacking Tools.

Roslaunch to visualize a rosbag file from Udacity (DiDi Challenge)

This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. Recently updated to work on Python 3.4+ and Keras 2+

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

The main repository containing Stunt Rally sources and game data. A 3D racing game based on VDrift and OGRE with track editor.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

这是我自己做的一个类似滴滴打车的Android出行项目，主要针对滴滴等出行平台一直饱受质疑的“人车不符”问题，以及当前越发火热的或计划和出海战略，给出行项目增加了下面几个功能： 1. RFID识别验证功能：在司机证件或者车内识别硬件嵌入RFID识别芯片，乘客使用手机读取到芯片信息，并且通过网络发送到出行平台数据库进行验证（我用JNI加了一个C语言的MD5加密算法对识别到的信息进行了加密）。如果不是合规的“人”或“车”，则不能完成订单并向平台或监管单位汇报当前位置。（为了方便读者测试，可以使用手机读取任何一个加密或非加密RFID芯片，比如银行卡、公交卡等，我在代码中的验证前阶段把芯片信息都换成我自己的司机信息，确保读者测试时可以收到服务器的回复） 2. 海外版功能：点击切换当前语言。 3. 司机证件号码识别功能：读取司机证件上的证件号码，也可以用来与出行平台数据库的接单司机信息进行。I complete this whole project on my own . Including Android application programming，web server ( Apache + PHP + MySQL), and UI. 1．Map route planing。You can use mobile phone choose pick up & destination address，application provide address name hint and draw optimized route for user , then call car for you. 2．RFID authentication function：User can use application to scan driver license or other RFID hardware, then use NDK MD5 algorithm encrypt RFID number, and send it to Web Server Database, check with driver information and authenticate ID number , if ID number coherent with driver info , send back driver information to User and continue call car order . record user location and alert if ID not coherent. 3．Driver License Number Recognition : Application can recognize driver license digit number ,and also can send to web server for authentication & feed back result to user.

Finding Lane Lines using Python and OpenCV

🏁 2D car crashing game armageddon

TrackMania 2020 through RL

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

🚜 unpretentious attempt to collect CAN IDs and payloads for various car brands/models in one place.

基于机器学习和OCR的车牌识别系统 @fujunhao

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

🚘 A Ruby gem and unofficial documentation of Tesla's JSON API for the Model S, 3, X, and Y.