SEFS – Results on Sensor Data Fusion System Development
2009 (English)Report (Other academic)
For driver assistance systems, a thorough perception of the environment becomes more and more important. Often, sensor data fusion systems (comprising typically sensors such as radar and vision systems) are employed, to get an improved picture of the host vehicle's surroundings. The SEFS project is part of the Swedish IVSS program. The project focuses on methods and architectures for fusion of sensor data. In this paper, some of the main results are highlighted. Findings of the SEFS project include a data fusion structure and architecture, tracking methods as well as vehicle and road models plus related parameter estimation.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009.
Sensor data fusion systems, Object tracking, Radar sensor models, Automotive safety, Advanced driver assistance systems
IdentifiersURN: urn:nbn:se:liu:diva-97536OAI: oai:DiVA.org:liu-97536DiVA: diva2:648343