Literature DB >> 23453775

Effectiveness and driver acceptance of a semi-autonomous forward obstacle collision avoidance system.

Makoto Itoh1, Tatsuya Horikome, Toshiyuki Inagaki.   

Abstract

This paper proposes a semi-autonomous collision avoidance system for the prevention of collisions between vehicles and pedestrians and objects on a road. The system is designed to be compatible with the human-centered automation principle, i.e., the decision to perform a maneuver to avoid a collision is made by the driver. However, the system is partly autonomous in that it turns the steering wheel independently when the driver only applies the brake, indicating his or her intent to avoid the obstacle. With a medium-fidelity driving simulator, we conducted an experiment to investigate the effectiveness of this system for improving safety in emergency situations, as well as its acceptance by drivers. The results indicate that the system effectively improves safety in emergency situations, and the semi-autonomous characteristic of the system was found to be acceptable to drivers.
Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

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Year:  2013        PMID: 23453775     DOI: 10.1016/j.apergo.2013.01.006

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  2 in total

1.  Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic.

Authors:  Chang Wang; Qinyu Sun; Zhen Li; Hongjia Zhang
Journal:  Sensors (Basel)       Date:  2020-04-16       Impact factor: 3.576

2.  Long-Term Evaluation of Drivers' Behavioral Adaptation to an Adaptive Collision Avoidance System.

Authors:  Husam Muslim; Makoto Itoh
Journal:  Hum Factors       Date:  2020-06-02       Impact factor: 2.888

  2 in total

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