driverless-car

There are 0 repository under driverless-car topic.

• Hasanat111 / Steering-Angle-from-Lanes-on-the-road

  Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)

  opencvcomputer-visiondriverless-carsteering-anglesadvance-lane-detectionudacity-self-driving-carhard-challenge
  Language:Jupyter Notebook 21
• Self-Driving-Robot-Using-Neural-Network

  akshaymogaveera / Self-Driving-Robot-Using-Neural-Network

  This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.

  tensorflowneural-networkpythonraspberry-piarduinoopencvdriverless-carself-driving-carself-driving-car-simulationroboticsartificial-neural-networksmachine-learninggradient-descentgooglewaymoopencv3-pythontensorflow-modelskeras
  Language:Python 13

• lopeselio / Behavioral-Cloning-Udacity--Self-Driving-Car-using-Deep-Learning

  Using deep learning and Convolutional Neural Networks to train a driverless vehicle and use of socket.io and Flask to for real time data communication to simulate the vehicle in a simulator

  driverless-cardeep-learningneural-networkconvolutional-neural-networksflasksocket-ioudacity
  Language:Jupyter Notebook 3

• agajansahatov / uds

  UDS (Udacity Driverless System) is an autonomous driving project developed using deep learning techniques and socket communication with a simulator. It was developed as an internship project during my internship at Zhilin Information Technology Co., Ltd., organized by Taiyuan University of Technology and the company itself, in 10.04.2024-23.04.2024

  cnncnnsdeep-learningdriverlessdriverless-cardriverless-systempythonudacity-self-driving-carunmanned-vehicles
  Language:Python 1

• jmscslgroup / RLWithAutonomousDriving

  Reinforcement Learning for Autonomous Driving

  autonomous-vehiclesautonomous-cardriverless-carself-driving-carmachine-learningreinforcement-learning
  Language:Python

• rishabh547 / Lane_Detection_using_opencv

  In this project , Car lanes are detected on a sample road video & image by using opencv_techniques and concepts

  lanesopencvdriverless-carlane-detection
  Language:Python

• thebitanpaul / AI-Driverless-Car

  AI DriverLess Car is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.

  driverless-carselfdrivingcar
  Language:C++