UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Safe Control of Autonomous Vehicles in Overtaking Maneuvers Using Game-Theoretic Learning-Based Predictive Controller

Yuan, Shaowei; Jiang, Jingjing; Spurgeon, Sarah; Chen, Boli; (2025) Safe Control of Autonomous Vehicles in Overtaking Maneuvers Using Game-Theoretic Learning-Based Predictive Controller. In: 2025 European Control Conference (ECC). (pp. pp. 2237-2242). IEEE: Thessaloniki, Greece. Green open access

[thumbnail of ECC_2025___GameRL_PSF_overtaking.pdf]
Preview
Text
ECC_2025___GameRL_PSF_overtaking.pdf - Accepted Version

Download (1MB) | Preview

Abstract

This work proposes a safe control strategy for an autonomous vehicle to overtake a human-driven vehicle (HDV) using a predictive safety filter (PSF) mechanism that hierarchically combines an end-to-end Reinforcement Learning (RL) agent with a predictive controller. To create a more realistic RL environment, a Stackelberg game based on a first-principles model is employed to capture the HDV’s real-time response during overtaking rather than relying on a predefined empirical or purely statistical driver model. In the lower layer, a distributionally robust chance-constrained predictive controller is implemented to manage uncertainties in HDV behavior, ensuring robust safety guarantees. The effectiveness of the proposed synthetic controller is verified in a gym environment with comparisons against traditional schemes.

Type: Proceedings paper
Title: Safe Control of Autonomous Vehicles in Overtaking Maneuvers Using Game-Theoretic Learning-Based Predictive Controller
Event: 2025 European Control Conference (ECC)
Dates: 24 Jun 2025 - 27 Jun 2025
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ecc65951.2025.11187115
Publisher version: https://doi.org/10.23919/ecc65951.2025.11187115
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10215753
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item