Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision

This paper studies whether low-grade inertial sensors can be adequate source of data for the accident characterization and the estimation of vehicle trajectory near crash. Paper presents outcomes of an experiment carried out in accredited safety performance assessment facility in which full-size pas...

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Main Authors: S. Tadic, M.B. Vukajlovic
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2016-04-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2016/16_01_0187_0193.pdf
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spelling doaj-7deeab6eb2524d689a62ad076e28f0a32020-11-24T22:50:26ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122016-04-01251187193Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle CollisionS. TadicM.B. VukajlovicThis paper studies whether low-grade inertial sensors can be adequate source of data for the accident characterization and the estimation of vehicle trajectory near crash. Paper presents outcomes of an experiment carried out in accredited safety performance assessment facility in which full-size passenger car was crashed and the recordings of different types of motion sensors were compared to investigate practical level of accuracy of consumer grade sensors versus reference equipment and cameras. Inertial navigation system was developed by combining motion sensors of different dynamic ranges to acquire and process vehicle crash data. Vehicle position was reconstructed in three-dimensional space using strap-down inertial mechanization. Difference between the computed trajectory and the ground-truth position acquired by cameras was on decimeter level within short time window of 750 ms. Experiment findings suggest that inertial sensors of this grade, despite significant stochastic variations and imperfections, can be valuable for estimation of velocity vector change, crash severity, direction of impact force, and for estimation of vehicle trajectory in crash proximity.http://www.radioeng.cz/fulltexts/2016/16_01_0187_0193.pdfAccelerometergyroscopesvehicle crash testingnavigationpositioning
collection DOAJ
language English
format Article
sources DOAJ
author S. Tadic
M.B. Vukajlovic
spellingShingle S. Tadic
M.B. Vukajlovic
Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision
Radioengineering
Accelerometer
gyroscopes
vehicle crash testing
navigation
positioning
author_facet S. Tadic
M.B. Vukajlovic
author_sort S. Tadic
title Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision
title_short Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision
title_full Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision
title_fullStr Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision
title_full_unstemmed Experimental Verification of Inertial Navigation with MEMS for Forensic Investigation of Vehicle Collision
title_sort experimental verification of inertial navigation with mems for forensic investigation of vehicle collision
publisher Spolecnost pro radioelektronicke inzenyrstvi
series Radioengineering
issn 1210-2512
publishDate 2016-04-01
description This paper studies whether low-grade inertial sensors can be adequate source of data for the accident characterization and the estimation of vehicle trajectory near crash. Paper presents outcomes of an experiment carried out in accredited safety performance assessment facility in which full-size passenger car was crashed and the recordings of different types of motion sensors were compared to investigate practical level of accuracy of consumer grade sensors versus reference equipment and cameras. Inertial navigation system was developed by combining motion sensors of different dynamic ranges to acquire and process vehicle crash data. Vehicle position was reconstructed in three-dimensional space using strap-down inertial mechanization. Difference between the computed trajectory and the ground-truth position acquired by cameras was on decimeter level within short time window of 750 ms. Experiment findings suggest that inertial sensors of this grade, despite significant stochastic variations and imperfections, can be valuable for estimation of velocity vector change, crash severity, direction of impact force, and for estimation of vehicle trajectory in crash proximity.
topic Accelerometer
gyroscopes
vehicle crash testing
navigation
positioning
url http://www.radioeng.cz/fulltexts/2016/16_01_0187_0193.pdf
work_keys_str_mv AT stadic experimentalverificationofinertialnavigationwithmemsforforensicinvestigationofvehiclecollision
AT mbvukajlovic experimentalverificationofinertialnavigationwithmemsforforensicinvestigationofvehiclecollision
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