466 Open source projects that are alternatives of or similar to WIMP

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Open-source simulator for autonomous driving research.

Autonomous RC Car using Neural Networks, Python and Open CV

Lidar Obstacle Detection

An open autonomous driving platform

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

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

Self Driving Cars Longitudinal and Lateral Control Design

An awesome list of self-driving cars

Be Driven 🚘

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

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

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Scenarios, tutorials and demos for Autonomous Driving

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

Vehicle State Estimation using Error-State Extended Kalman Filter

A tool converting Waymo dataset format to Kitti dataset format.

An open source autonomous driving stack by San Jose State University Autonomous Driving Team

ROS & Gazebo project for 1/10th scale self-driving race cars

Self-Driving Car Simulator

Differentiable Duckietown

Automated Driving in NFS using CNN.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

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

An awesome list of self-driving cars

Papers on 3D Object Detection for Autonomous Driving

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

A deep neural network that learns to drive in video games

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

an awesome list of self-driving algorithms, software, tools

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

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

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.

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Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

An open HD map production process for autonomous car simulation

Software for LOCO, our autonomous drifting RC car.

C++ implementation of Model Predictive Control(MPC)

Track oriented, multi target, multi hypothesis tracker

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…

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

Autonomous driving trajectory planning solution for U-Turn scenario

Bird's eye/Top Down view generation and mapping with deep learning.

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

Self-driving RC Car ROS Software

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Lane Detection for Self Driving Car

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

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Implementation of the paper "End to End Learning for Self-Driving Cars"

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