awesome-repositories.com
Blog
MCP
awesome-repositories.com

Découvrez les meilleurs dépôts open-source grâce à notre recherche par IA.

ExplorerRecherches sélectionnéesAlternatives open sourceLogiciels auto-hébergésBlogPlan du site
ProjetÀ proposNotre méthodologiePresseServeur MCP
Mentions légalesConfidentialitéConditions d'utilisation
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
StuckAtPrototype avatar

StuckAtPrototype/Racer

0
View on GitHub↗
3,742 stars·537 forks·C·Apache-2.0·2 vues

Racer

Racer is a self-driving remote-controlled car platform that integrates hardware schematics, an autonomous vehicle training framework, and a machine learning control system. It provides the necessary tools to build, train, and operate autonomous vehicles.

The platform includes 3D-printable design files and electronic schematics for constructing custom vehicle chassis and circuitry. This hardware is supported by a software toolkit that translates model predictions into steering and speed commands for the physical vehicle.

The system covers supervised learning processes that map sensor data to operator commands, real-time model inference for vehicle movement, and remote telemetry for controlling vehicles via keyboard input.

Features

  • Autonomous Driving Stacks - Provides a comprehensive hardware and software stack for building and operating self-driving RC cars.
  • Autonomous Vehicle Training - Provides a framework for training machine learning models to navigate physical vehicles using sensor data.
  • Model Inference - Implements real-time model inference to generate vehicle movement commands from sensor streams.
  • Neural Network Training - Provides a process for training neural networks to enable autonomous vehicle operation using sensor data.
  • Supervised Learning Frameworks - Trains vehicle steering models by mapping formatted sensor input data to specific operator directional commands.
  • 3D-Printable Robot Designs - Ships 3D-printable design files for producing robotic vehicle frames and components.
  • Custom Robot Hardware Design - Provides custom PCB layouts and electronic schematics for robotic control and sensing.
  • DIY Hardware Blueprints - Offers open-source hardware blueprints and schematics for building custom robotic vehicle chassis.
  • Hardware Assembly Guides - Provides electronic schematics and 3D design files for the physical assembly of the vehicle chassis.
  • Vehicle Operating Environments - Provides an integrated software environment managing the pipeline from sensor ingestion to vehicle actuation.
  • Vehicle Motion Control - Translates model predictions into commands for physical actuators like steering and acceleration.
  • Remote Control Signals - Transmits steering and speed control signals from a computer to a remote vehicle.
  • Keyboard Remote Operation - Allows sending directional speed and steering commands to a remote vehicle via a computer keyboard.

Historique des stars

Graphique de l'historique des stars pour stuckatprototype/racerGraphique de l'historique des stars pour stuckatprototype/racer

Recherche par IA

Explorez plus de dépôts awesome

Décrivez vos besoins en langage naturel — l'IA classe des milliers de projets open source sélectionnés par pertinence.

Start searching with AI

Questions fréquentes

Que fait stuckatprototype/racer ?

Racer is a self-driving remote-controlled car platform that integrates hardware schematics, an autonomous vehicle training framework, and a machine learning control system. It provides the necessary tools to build, train, and operate autonomous vehicles.

Quelles sont les fonctionnalités principales de stuckatprototype/racer ?

Les fonctionnalités principales de stuckatprototype/racer sont : Autonomous Driving Stacks, Autonomous Vehicle Training, Model Inference, Neural Network Training, Supervised Learning Frameworks, 3D-Printable Robot Designs, Custom Robot Hardware Design, DIY Hardware Blueprints.

Quelles sont les alternatives open-source à stuckatprototype/racer ?

Les alternatives open-source à stuckatprototype/racer incluent : cpfl/autoware — Autoware is a modular autonomous driving stack and open-source platform for advanced driver assistance systems. It… deeplearning4j/deeplearning4j — Deeplearning4j is a JVM-based deep learning framework and tensor computing library. It provides a computational graph… stephencwelch/neural-networks-demystified — Neural Networks Demystified is an educational resource consisting of interactive Python notebooks designed to explain… autowarefoundation/autoware — Autoware is an open-source autonomous driving software platform built on the robotics middleware standard. It provides… apolloauto/apollo — Apollo is a comprehensive software stack designed for autonomous vehicle development, providing the necessary… opendrivelab/uniad — UniAD is a unified deep learning framework for autonomous driving that integrates perception, prediction, and planning…

Alternatives open source à Racer

Projets open source similaires, classés selon le nombre de fonctionnalités partagées avec Racer.
  • cpfl/autowareAvatar de CPFL

    CPFL/Autoware

    11,716Voir sur GitHub↗

    Autoware is a modular autonomous driving stack and open-source platform for advanced driver assistance systems. It functions as an integrated operating environment that manages the full pipeline from sensor data processing to vehicle actuation, utilizing the ROS 2 robotics framework for distributed communication and hardware abstraction. The system provides a comprehensive software architecture to enable autonomous driving across various vehicle platforms. It coordinates perception, planning, and control systems to operate vehicles without human intervention. The platform covers several core

    Dockerfile
    Voir sur GitHub↗11,716
  • deeplearning4j/deeplearning4jAvatar de deeplearning4j

    deeplearning4j/deeplearning4j

    14,236Voir sur GitHub↗

    Deeplearning4j is a JVM-based deep learning framework and tensor computing library. It provides a computational graph engine for defining and executing deep learning workflows and mathematical operations within the Java Virtual Machine. The project includes a dedicated importer for loading and running pretrained models exported from Keras, TensorFlow, and ONNX formats. Its tensor computing capabilities are driven by a modular native C++ math core to execute high-performance linear algebra operations. The framework covers neural network training, deep learning model inference, and the constru

    Java
    Voir sur GitHub↗14,236
  • stephencwelch/neural-networks-demystifiedAvatar de stephencwelch

    stephencwelch/Neural-Networks-Demystified

    1,361Voir sur GitHub↗

    Neural Networks Demystified is an educational resource consisting of interactive Python notebooks designed to explain the fundamental mathematical concepts behind neural networks. It serves as a tutorial for understanding how these models process data and learn from patterns through supervised learning implementations. The project functions as a visualization tool that demonstrates core mechanics such as forward propagation and gradient descent. By utilizing notebook-driven execution, it allows for the inspection of intermediate data states and mathematical transformations as they occur durin

    Jupyter Notebook
    Voir sur GitHub↗1,361
  • apolloauto/apolloAvatar de ApolloAuto

    ApolloAuto/apollo

    26,676Voir sur GitHub↗

    Apollo is a comprehensive software stack designed for autonomous vehicle development, providing the necessary components for perception, planning, and control. It functions as a high-performance robotics middleware, utilizing a publish-subscribe data bus to facilitate low-latency communication between distributed modules and hardware sensors. The platform integrates data from cameras, lidar, and radar through a sensor fusion framework to generate a real-time environmental model for navigation. The system features a component-based runtime framework that manages task scheduling and resource al

    C++apolloautonomous-drivingautonomous-vehicles
    Voir sur GitHub↗26,676
  • Voir les 30 alternatives à Racer→