A Modular Architecture Design for Autonomous Driving Racing in Controlled Environments
By: Brais Fontan-Costas , M. Diaz-Cacho , Ruben Fernandez-Boullon and more
Potential Business Impact:
Drives cars safely on test tracks by themselves.
This paper presents an Autonomous System (AS) architecture for vehicles in a closed circuit. The AS performs precision tasks including computer vision for environment perception, positioning and mapping for accurate localization, path planning for optimal trajectory generation, and control for precise vehicle actuation. Each subsystem operates independently while connecting data through a cohesive pipeline architecture. The system implements a modular design that combines state-of-the-art technologies for real-time autonomous navigation in controlled environments.
Similar Papers
From Zero to High-Speed Racing: An Autonomous Racing Stack
Robotics
Makes race cars drive themselves super fast.
Simulating an Autonomous System in CARLA using ROS 2
Robotics
Helps race cars drive themselves super fast.
Development of a Testbed for Autonomous Vehicles: Integrating MPC Control with Monocular Camera Lane Detection
Robotics
Helps self-driving cars stay perfectly in their lane.