712 Open source projects that are alternatives of or similar to Rtm3d

Autonomous RC Car using Neural Networks, Python and Open CV

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

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

Vehicle State Estimation using Error-State Extended Kalman Filter

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

An open autonomous driving platform

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

Scenarios, tutorials and demos for Autonomous Driving

An awesome list of self-driving cars

Open-source simulator for autonomous driving research.

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

Self Driving Cars Longitudinal and Lateral Control Design

Be Driven 🚘

Lidar Obstacle Detection

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

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

Research platform for 3D object detection in PyTorch.

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

收集深度学习相关的awesome 资源列表,欢迎补充

An open HD map production process for autonomous car simulation

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

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

Autonomous RC Car powered by a Convoluted Neural Network implemented in Python with Tensorflow

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

This repo contains C++ code for sparse scene flow method.

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

Autonomous driving trajectory planning solution for U-Turn scenario

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

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

Self-driving RC Car ROS Software

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

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

A tool converting Waymo dataset format to Kitti dataset format.

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

Papers on 3D Object Detection for Autonomous Driving

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

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

Lane Detection for Self Driving Car

Python sample codes for robotics algorithms.

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

MATLAB sample codes for mobile robot navigation

A path planning algorithm based on Hybrid A* for trailer truck

A deep neural network that learns to drive in video games

Software for the AutoRally platform

A selection of state-of-the-art research materials on trajectory prediction

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Real-time Joint Semantic Reasoning for Autonomous Driving

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

Differentiable Duckietown

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

This is the source code of the feasibility study for Autoware architecture proposal.

Self-Driving Car Simulator

Ros package for basic autonomous lane tracking and object detection

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

capsule networks that achieves outstanding performance on the German traffic sign dataset

Automated Driving in NFS using CNN.

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.

Track oriented, multi target, multi hypothesis tracker

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

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