liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Tracking and threat assessment for automotive collision avoidance
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2007 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

This thesis is concerned with automotive active safety, and a central theme is a new safety function called Emergency Lane Assist (ELA). Automotive safety is often categorised into passive and active safety, where passive safety is concerned with reducing the effects of accidents and active safety aims at avoiding them. ELA detects lane departure manoeuvres that are likely to result in a collision and prevents them by applying a steering wheel torque. The ELA concept is based on traffic accident statistics, i.e., it is designed to give

maximum safety based on information about real life traffic accidents.

The ELA function puts tough requirements on the accuracy of the information from the sensors, in particular the road shape and the position of surrounding objects, and on robust threat assessment. Several signal processing methods have been developed and evaluated

in order to improve the accuracy of the sensor information, and these improvements are also analysed in how they relate to the ELA requirements. Different threat assessment methods are also studied, and a common element in both the signal processing and the threat assessment is that they are based on driver behaviour models, i.e., they utilise the fact that depending on the traffic situation, drivers are more likely to behave in certain ways than others.

Most of the methods are general and can be, and hopefully also will be, applied also in other safety systems, in particular when a complete picture of the vehicle surroundings is considered, including information about road and lane shape together with the position of vehicles and infrastructure.

All methods in the thesis have been evaluated on authentic sensor data from actual and relevant traffic environments.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2007.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1066
Keyword [en]
Active safety, collision avoidance, lane guidance, state estimation, target trackin, Kalman filter, centralized filtering, threa
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-8338ISBN: 91-85643-10-6OAI: diva2:23166
Public defence
2007-01-26, Visionen, B, ISY, 10:15 (English)
Available from: 2007-02-27 Created: 2007-02-27 Last updated: 2009-04-09

Open Access in DiVA

fulltext(231 kB)2551 downloads
File information
File name FULLTEXT01.pdfFile size 231 kBChecksum MD5
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Eidehall, Andreas
By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 2551 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 3355 hits
ReferencesLink to record
Permanent link

Direct link