Self-Driving Toy Car Using Deep Learning
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Updated
Mar 11, 2023 - C++
Self-Driving Toy Car Using Deep Learning
Autonomous Driving Car that can follow street lines on the floor and stops at bus stops. School Project
Autonomous remote-controlled car using Deep Learning
Lane Finding Project - uses hough transforms and CV techniques to trace lane lines
This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
ROS packages for RobotCar controllers
Pacman Driving Simulator
Using Carla simulator for Autonomous Driving
Velocity of car from dashcam video
Spatio-Temporal Action Graph Networks
Atividades da disciplina MC404 - Organização de Computadores e Linguagem de Montagem, 2s2020, Prof. Edson Borin
Graded projects of the course Deep Learning for Autonomous Driving, ETH Zürich (Spring 2021). Topics: Multi-task learning for semantics and depth, 3D Object Detection from Lidar Point Clouds.
A robot that autonomously drives with the optimal path and obstacle avoidance through deep reinforcement learning is being produced.
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
Use multiple cubic polynomials to fit the altitude of the lane.
A dataset of multiclass semantic segmentation image annotations (CVAT for Images 1.1) for the first 250 images of the "Duckietown Object Detection Dataset".
🚙 Awesome Pointcloud 3D detection in autonomous driving
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