ROAICVSYOct 27, 2023

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds

arXiv:2310.18112v119 citationsh-index: 15
Originality Incremental advance
AI Analysis

This addresses the problem of high-speed autonomous racing for robotics and automotive industries, but it is incremental as it builds on existing modules with specific adaptations for racing scenarios.

The paper presents the complete software architecture used by team TII EuroRacing in the Indy Autonomous Challenge, tackling autonomous racing at speeds over 75 m/s on oval tracks with static obstacles and overtakes, resulting in second and third place finishes in the first two events.

The Indy Autonomous Challenge (IAC) brought together for the first time in history nine autonomous racing teams competing at unprecedented speed and in head-to-head scenario, using independently developed software on open-wheel racecars. This paper presents the complete software architecture used by team TII EuroRacing (TII-ER), covering all the modules needed to avoid static obstacles, perform active overtakes and reach speeds above 75 m/s (270 km/h). In addition to the most common modules related to perception, planning, and control, we discuss the approaches used for vehicle dynamics modelling, simulation, telemetry, and safety. Overall results and the performance of each module are described, as well as the lessons learned during the first two events of the competition on oval tracks, where the team placed respectively second and third.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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