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

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Radar and Thermopile Sensor Fusion for Pedestrian Detection
Linköping University, Department of Electrical Engineering.
2005 (English)Independent thesis Basic level (professional degree)Student thesis
Abstract [en]

During the last decades, great steps have been taken to decrease passenger fatality in cars. Systems such as ABS and airbags have been developed for this purpose alone. But not much effort has been put into pedestrian safety. In traffic today, pedestrians are one of the most endangered participants and in recent years, there has been an increased demand for pedestrian safety from the European Enhanced Vehicle safety Committee and the European New Car Assessment Programme has thereby developed tests where pedestrian safety is rated. With this, detection of pedestrians has arised as a part in the automotive safety research.

This thesis provides some of this research available in the area and a brief introduction to some of the sensors readily available. The objective of this work is to detect pedestrians in front of a vehicle by using thermoelectric infrared sensors fused with short range radar sensors and also to minimize any missed detections or false alarms. There has already been extensive work performed with the thermoelectric infrared sensors for this sole purpose and this thesis is based on that work.

Information is provided about the sensors used and an explanation of how they are set up during this work. Methods used for classifying objects are given and the assumptions made about pedestrians in this system. A basic tracking algorithm is used to track radar detected objects in order to provide the fusion system with better data. The approach chosen for the sensor fusion is a central-level fusion where the probabilities for a pedestrian from the radars and the thermoelectric infrared sensors are combined using Dempster-Shafer Theory and accumulated over time in the Occupancy Grid framework. Theories that are extensively used in this thesis are explained in detail and discussed accordingly in different chapters.

Finally the experiments undertaken and the results attained from the presented system are shown. A comparison is made with the previous detection system, which only uses thermoelectric infrared sensors and of which this work continues on. Conclusions regarding what this system is capable of are drawn with its inherent strengths and weaknesses.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2005. , 101 p.
Keyword [en]
Reglerteknik, Pedestrian detection, radar, Thermopile, thermoelectric infrared sensor, sensor fusion, Dempster-Shafer, Occupancy Grid
Keyword [sv]
Reglerteknik
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-115ISRN: LITH-ISY-EX--05/3682--SEOAI: oai:DiVA.org:liu-115DiVA: diva2:17930
Presentation
2005-06-21
Uppsok
teknik
Available from: 2005-06-23 Created: 2005-06-23

Open Access in DiVA

fulltext(2721 kB)679 downloads
File information
File name FULLTEXT01.pdfFile size 2721 kBChecksum SHA-1
ef0cdb74c8c47eceb1e18b82fd0323fb5cef0338bca9c8d434bd0b94a7c51f10978a0eff
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 679 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

urn-nbn

Altmetric score

urn-nbn
Total: 870 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf