DeepAI AI Chat
Log In Sign Up

AMZ Driverless: The Full Autonomous Racing System

by   Juraj Kabzan, et al.

This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and extensibility. In order to autonomously race around a previously unknown track, the proposed solution combines state of the art techniques from different fields of robotics. Specifically, perception, estimation, and control are incorporated into one high-performance autonomous racecar. This complex robotic system, developed by AMZ Driverless and ETH Zurich, finished 1st overall at each competition we attended: Formula Student Germany 2017, Formula Student Italy 2018 and Formula Student Germany 2018. We discuss the findings and learnings from these competitions and present an experimental evaluation of each module of our solution.


Autonomous Formula Racecar: Overall System Design and Experimental Validation

This paper develops and summarizes the work of building the autonomous i...

The Autonomous Racing Software Stack of the KIT19d

Formula Student Driverless challenges engineering students to develop au...

Fast and Accurate Mapping for Autonomous Racing

This paper presents the perception, mapping, and planning pipeline imple...

Autonomous Driving System Design for Formula Student Driverless Racecar

This paper summarizes the work of building the autonomous system includi...

Design of an Autonomous Racecar: Perception, State Estimation and System Integration

This paper introduces flüela driverless: the first autonomous racecar to...

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations

This paper describes the exploration and learnings during the process of...

Setting Out a Software Stack Capable of Hosting a Virtual ROS-based Competition

Traditional academic competitions that foster collaboration from student...