Safe Human-Inspired Mesoscopic Hybrid Automaton for Longitudinal Vehicle Control
Alessio Iovine, Francesco Valentini, Elena De Santis, Marika Di, Benedetto, Marco Pratesi
TL;DR
This paper introduces a human-inspired mesoscopic hybrid automaton designed for adaptive cruise control, aiming to improve vehicle longitudinal control by mimicking human driving behavior.
Contribution
The paper presents a novel mesoscopic hybrid automaton model that enhances adaptive cruise control with human-inspired decision-making capabilities.
Findings
Improved vehicle following performance
Enhanced safety margins in longitudinal control
Demonstrated robustness in simulated driving scenarios
Abstract
In this paper a mesoscopic hybrid automaton is introduced in order to obtain a human-inspired based adaptive cruise control.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.