145 Open source projects that are alternatives of or similar to Surround_vehicles_awareness

An open autonomous driving platform

Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

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

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

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Self-Driving Car Simulator

TrackMania 2020 through RL

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

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

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

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

First Project Udacity's Self-Driving NanoDegree

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

Advanced lane detection using computer vision

Lidar Obstacle Detection

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

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

Dataflow system for building self-driving car and robotics applications.

Automated Driving in NFS using CNN.

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨

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

Self Driving RC Car

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

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

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

Open-source simulator for autonomous driving research.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

A deep neural network that learns to drive in video games

Lane Detection Module using C++ and OpenCV

A JavaScript deep learning and reinforcement learning library.

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

无人驾驶的资源列表中文版

A End to End CNN Model which predicts the steering wheel angle based on the video/image

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

真AI人工智能

Finding Lane Lines using Python and OpenCV

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

Lane Detection for Self Driving Car

Differentiable Duckietown

Vehicle State Estimation using Error-State Extended Kalman Filter

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

No description or website provided.

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

things I help(ed) to build

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

Ogma - OgmaDrive https://ogma.ai/

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

Self driving car in GTAV with Deep Learning

detect curved lane lines using HSV filtering and sliding window search.

GPS Localization with ROS, OSM and rviz

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））

The core technology behind Self Driving Cars today.

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

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

Simulation of 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.

A collection of all projects pertaining to different layers in the SDC software stack

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

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

Stanford Code From Cars That Entered DARPA Grand Challenges