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A Safety Margin-Based Automatic Emergency Braking Model

  • Xin Ji
  • , Guangquan Lu*
  • , Jinghua Wang
  • , Jinhao Liang
  • , Renjing Tang
  • *Corresponding author for this work
  • Beihang University
  • National University of Singapore

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Automatic Emergency Braking (AEB) system is capable of assessing driving risks, alerting the driver to potential collision hazards, and, in the absence of driver response to the collision risk, autonomously activating braking to mitigate the occurrence of collision accidents. Most existing Automatic Emergency Braking (AEB) systems rely on Time to Collision (TTC) for risk assessment and decision-making. However, TTC fails to account for the impact of absolute velocity on driving safety when assessing risk, leading to inaccurate risk descriptions, particularly in high-speed scenarios with minor speed differences. The Safety Margin (SM) takes into account key factors affecting driving risk, such as relative velocity and distance, and is capable of accurately quantifying driving risks. Based on the SM, this study proposes a full-speed range single-threshold Automatic Emergency Braking (AEB) model. The model comprises two components: traffic environment risk quantification and road surface friction coefficient estimation. It is applicable to automatic emergency braking tasks under varying speeds and road surface conditions. Simulation experiments were conducted by constructing three typical scenarios: stationary lead vehicle, slow-moving lead vehicle, and braking lead vehicle, to determine the braking threshold as 0.2. The safety performance of the proposed safety margin-based AEB model is evaluated by comparing it with the traditional TTC-based AEB model across the specified scenarios. The results demonstrate that the safety margin-based AEB model proposed in this study achieves 100% safe braking in all scenarios, successfully performing emergency braking and outperforming the TTC-based AEB model.

Original languageEnglish
Title of host publicationIV 2025 - 36th IEEE Intelligent Vehicles Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages710-715
Number of pages6
ISBN (Electronic)9798331538033
DOIs
StatePublished - 2025
Event36th IEEE Intelligent Vehicles Symposium, IV 2025 - Cluj-Napoca, Romania
Duration: 22 Jun 202525 Jun 2025

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
ISSN (Print)1931-0587
ISSN (Electronic)2642-7214

Conference

Conference36th IEEE Intelligent Vehicles Symposium, IV 2025
Country/TerritoryRomania
CityCluj-Napoca
Period22/06/2525/06/25

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