Semantic Segmentation for images from Carla - the autonomous driving simulator
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Updated
Jun 27, 2018 - Python
Semantic Segmentation for images from Carla - the autonomous driving simulator
Udacity-Lyft road-car semantic segmentation for Carla simulator
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Client example of Carla simulator with OpenCV in python
Compiler explorer with support for LibCarla.
Path Planning and Control module with CARLA and ROS BRIDGE
Generating training data from the Carla driving simulator in the KITTI dataset format
Gebze Technical University Graduation Project II
This project aims to develop a vehicle controller to control the vehicle in CARLA simulator to follow a race track by navigating through preset waypoints.
This project implements a functional motion planning stack for autonomous vehicles to avoid both static and dynamic obstacles while tracking the center line of a lane, while also handling stop signs.
CNN using Keras to clone driving behavior.
Rendering RGB, Depth and Semantic Segmentation data using carla 0.9.6
Feedback Control Systems Project
Experimentation on Carla Simulator for running DQN RL agents for Autonomous Driving
CARLA simulator: self driving car python vehicle control
Reinforcement Learning Agents Trained in the CARLA Simulator
Autonomous driving agent in CARLA Simulator trained using reinforcement learning
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