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A New Automotive System Architecture...

Rictor, Andrew,

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A New Automotive System Architecture for Minimizing Rear-End Collisions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A New Automotive System Architecture for Minimizing Rear-End Collisions // Andrew Rictor.
Author:	Rictor, Andrew,
Description:	1 electronic resource (110 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-06, Section: A.
Contained By:	Dissertations Abstracts International86-06A.
Subject:	Automotive engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31633141
ISBN:	9798346872603

A New Automotive System Architecture for Minimizing Rear-End Collisions /
Rictor, Andrew,

A New Automotive System Architecture for Minimizing Rear-End Collisions /Andrew Rictor. - 1 electronic resource (110 pages)

Source: Dissertations Abstracts International, Volume: 86-06, Section: A.

Advanced Driver Assistance Systems, more frequently referred to as ADAS, are intelligent systems integrated into newer automotive vehicles to improve safety and minimize accidents. These systems utilize radar, sonar, lidar and camera sensors mounted around the vehicle to maintain situational awareness of the vehicle and the surrounding environment. The majority of ADAS that focus on collision avoidance modify the host vehicle's operation. Some existing ADAS will stop the vehicle, sound an audible alert, initiate internal warning lights or dash warning messages, and prevent lane change operations. The ADAS proposed and detailed here focuses on enabling the host vehicle to communicate with the inbound vehicle's driver via the brake lights so that the driver has the opportunity to modify the inbound vehicle's operation before a collision occurs. This is called the Aft Collision Assist (ACA). This work presents the Model Based System Engineering (MBSE) diagrams, SIMULINK models and simulation of the ACA, data derivation utilized in the simulations, validation with empirical data, and future work for optimizing the ACA's algorithms.

English

ISBN: 9798346872603Subjects--Topical Terms:

2181195
Automotive engineering.
Subjects--Index Terms:

Aft Collision Assist

A New Automotive System Architecture for Minimizing Rear-End Collisions /
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100 1 $a Rictor, Andrew, $e author. $3 3830089
245 1 2 $a A New Automotive System Architecture for Minimizing Rear-End Collisions / $c Andrew Rictor.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (110 pages)
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338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-06, Section: A.
500 $a Advisors: Chandrasekaran, Venkatachalam Committee members: Cheney, Margaret; Herber, Daniel; Simske, Steven.
502 $b Ph.D. $c Colorado State University $d 2024.
520 $a Advanced Driver Assistance Systems, more frequently referred to as ADAS, are intelligent systems integrated into newer automotive vehicles to improve safety and minimize accidents. These systems utilize radar, sonar, lidar and camera sensors mounted around the vehicle to maintain situational awareness of the vehicle and the surrounding environment. The majority of ADAS that focus on collision avoidance modify the host vehicle's operation. Some existing ADAS will stop the vehicle, sound an audible alert, initiate internal warning lights or dash warning messages, and prevent lane change operations. The ADAS proposed and detailed here focuses on enabling the host vehicle to communicate with the inbound vehicle's driver via the brake lights so that the driver has the opportunity to modify the inbound vehicle's operation before a collision occurs. This is called the Aft Collision Assist (ACA). This work presents the Model Based System Engineering (MBSE) diagrams, SIMULINK models and simulation of the ACA, data derivation utilized in the simulations, validation with empirical data, and future work for optimizing the ACA's algorithms.
546 $a English
590 $a School code: 0053
650 4 $a Automotive engineering. $3 2181195
650 4 $a Transportation. $3 555912
650 4 $a Mechanical engineering. $3 649730
653 $a Aft Collision Assist
653 $a Advanced Driver Assistance Systems
653 $a Model Based System Engineering
653 $a Rear-end collision avoidance
653 $a SIMULINK model
690 $a 0540
690 $a 0548
690 $a 0709
710 2 $a Colorado State University. $b Systems Engineering. $e degree granting institution. $3 3817177
720 1 $a Chandrasekaran, Venkatachalam $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-06A.
790 $a 0053
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31633141