274 Open source projects that are alternatives of or similar to Pi_self_driving_car

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

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

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

PyTorch Implementation of PIXOR

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.

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

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

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

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

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.

Real-time people tracking using a 3D LIDAR

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WhiteboxTools Python Frontend

Full-python LiDAR SLAM using ICP and Scan Context

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

Automated Driving in NFS using CNN.

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Drivers for receiving LiDAR data and more

An awesome list of self-driving cars

Scenarios, tutorials and demos for Autonomous Driving

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

Lidar Obstacle Detection

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Export an OBJ file of ARKit 3.5 iPad Pro LIDAR scans

Open Hardware scanning triangulation laser rangefinder

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

Open Source scanning laser rangefinder

LiDAR-Inertial 3D Plane Simulator

A hackable lidar viewer

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

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

Learn to map surrounding vehicles onto a bird's eye view of the scene.

Build a CNN network to predict 3D bounding box of car from 2D image.

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

Udacity Self-Driving Car Engineer Nanodegree projects.

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

Tool for convert files into Magicavoxel file

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

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Lane Detection Module using C++ and OpenCV

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

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

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

A Python package for delineating nested surface depressions from digital elevation data.

Be Driven 🚘

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

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

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

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

Research platform for 3D object detection in PyTorch.

Grid-GCN for Fast and Scalable Point Cloud Learning

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

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.