Data Fusion considering ‘Negative’ Information for Cooperative Vehicles
dc.contributor.author | Tischler, Karin | |
dc.contributor.author | Vogt, Heike S. | |
dc.contributor.editor | Herzog, Otthein | |
dc.contributor.editor | Rödiger, Karl-Heinz | |
dc.contributor.editor | Ronthaler, Marc | |
dc.contributor.editor | Koschke, Rainer | |
dc.date.accessioned | 2019-05-15T09:04:50Z | |
dc.date.available | 2019-05-15T09:04:50Z | |
dc.date.issued | 2007 | |
dc.description.abstract | Negative information provides important additional knowledge that is not exploited for sensor data fusion tasks by default. This paper presents a new approach to incorporate such information about unoccupied, observed areas or missing measurements in the Kalman filtering process. For this purpose, a combination with a grid-based method is proposed to generate a visibility map. This enables a plausibility check and an enhanced understanding for the collaborative perception of the environment with multiple cognitive vehicles. Results from a realistic traffic simulation are presented. | en |
dc.identifier.isbn | 978-3-88579-206-1 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/22470 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e. V. | |
dc.relation.ispartof | Informatik 2007 – Informatik trifft Logistik – Band 2 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-110 | |
dc.title | Data Fusion considering ‘Negative’ Information for Cooperative Vehicles | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 154 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 150 | |
gi.conference.date | 24.-27. September 2007 | |
gi.conference.location | Bremen | |
gi.conference.sessiontitle | Regular Research Papers |
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