Online Detection of Evasive Maneuvers for Heavy Duty Vehicles

Abstract By the first of November 2013 there will be a new legislation introduced in the European Union to improve road safety, which is being developed by the United Nations Economic Commission for Europe. The new legislation will make it mandatory for all heavy-vehicles to have an Advanced Emergen...

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Main Author: Björklund, Mattias
Format: Others
Language:English
Published: KTH, Reglerteknik 2012
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98867
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-988672013-01-08T13:52:16ZOnline Detection of Evasive Maneuvers for Heavy Duty VehiclesengBjörklund, MattiasKTH, Reglerteknik2012Abstract By the first of November 2013 there will be a new legislation introduced in the European Union to improve road safety, which is being developed by the United Nations Economic Commission for Europe. The new legislation will make it mandatory for all heavy-vehicles to have an Advanced Emergency Braking System (AEB system). This means that they need to be equipped with a system which has the capability of braking the vehicle if it is about to crash into the rear of a vehicle in front, provided that the driver does not make any action. This M aster’sthesis, which was initiated by Scania CV AB, covers the topic of making sure the AEB system never interferes with the drivers impending evasive maneuver. It presents three possible methods for identifying situations for when the drivers control should not be interfered. The requirement of a method, which has been provided by Scania CV AB, is that it should rely on minimal sensor input and require little computational resources. One of the three proposed methods meets these requirements well and has thus been further developed into an implementable on-board function. This method has been tested in simulation software as well as in an actual truck with promising results; the method correctly classified all the evasive maneuvers it was tested with. It can however be noted that there are situations which gets erroneously classified as an evasive maneuver, although none which have proved to be relevant since the AEB system is not operating in these situations. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98867EES Examensarbete / Master Thesis ; XR-EE-RT 2012:010application/pdfinfo:eu-repo/semantics/openAccess
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language English
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description Abstract By the first of November 2013 there will be a new legislation introduced in the European Union to improve road safety, which is being developed by the United Nations Economic Commission for Europe. The new legislation will make it mandatory for all heavy-vehicles to have an Advanced Emergency Braking System (AEB system). This means that they need to be equipped with a system which has the capability of braking the vehicle if it is about to crash into the rear of a vehicle in front, provided that the driver does not make any action. This M aster’sthesis, which was initiated by Scania CV AB, covers the topic of making sure the AEB system never interferes with the drivers impending evasive maneuver. It presents three possible methods for identifying situations for when the drivers control should not be interfered. The requirement of a method, which has been provided by Scania CV AB, is that it should rely on minimal sensor input and require little computational resources. One of the three proposed methods meets these requirements well and has thus been further developed into an implementable on-board function. This method has been tested in simulation software as well as in an actual truck with promising results; the method correctly classified all the evasive maneuvers it was tested with. It can however be noted that there are situations which gets erroneously classified as an evasive maneuver, although none which have proved to be relevant since the AEB system is not operating in these situations.
author Björklund, Mattias
spellingShingle Björklund, Mattias
Online Detection of Evasive Maneuvers for Heavy Duty Vehicles
author_facet Björklund, Mattias
author_sort Björklund, Mattias
title Online Detection of Evasive Maneuvers for Heavy Duty Vehicles
title_short Online Detection of Evasive Maneuvers for Heavy Duty Vehicles
title_full Online Detection of Evasive Maneuvers for Heavy Duty Vehicles
title_fullStr Online Detection of Evasive Maneuvers for Heavy Duty Vehicles
title_full_unstemmed Online Detection of Evasive Maneuvers for Heavy Duty Vehicles
title_sort online detection of evasive maneuvers for heavy duty vehicles
publisher KTH, Reglerteknik
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98867
work_keys_str_mv AT bjorklundmattias onlinedetectionofevasivemaneuversforheavydutyvehicles
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