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Hauptverfasser: Fork, Thomas, Camozzi, Francesco, Fu, Xiao-Yu, Borrelli, Francesco
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2406.01724
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author Fork, Thomas
Camozzi, Francesco
Fu, Xiao-Yu
Borrelli, Francesco
author_facet Fork, Thomas
Camozzi, Francesco
Fu, Xiao-Yu
Borrelli, Francesco
contents We present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. Our main contribution is a methodology to consider friction and road contact safety on general smooth road geometry. We use this to develop an active safety system to preemptively reduce vehicle speed for upcoming road geometry, such as off-camber turns. Our system may be used for human-driven or autonomous vehicles and we demonstrate it with a simulated ADAS scenario. We show that loss of control due to driver error on nonplanar roads can be mitigated by our approach.
format Preprint
id arxiv_https___arxiv_org_abs_2406_01724
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Predictive Braking on a Nonplanar Road
Fork, Thomas
Camozzi, Francesco
Fu, Xiao-Yu
Borrelli, Francesco
Robotics
We present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. Our main contribution is a methodology to consider friction and road contact safety on general smooth road geometry. We use this to develop an active safety system to preemptively reduce vehicle speed for upcoming road geometry, such as off-camber turns. Our system may be used for human-driven or autonomous vehicles and we demonstrate it with a simulated ADAS scenario. We show that loss of control due to driver error on nonplanar roads can be mitigated by our approach.
title Predictive Braking on a Nonplanar Road
topic Robotics
url https://arxiv.org/abs/2406.01724