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210512 ||| eng |
| 020 |
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|a 9783731500735
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|a 1000035932
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1 |
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|a Otto, Carola
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| 245 |
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|a Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2013
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| 300 |
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|a 1 electronic resource (VIII, 238 p. p.)
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| 653 |
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|a Risk Assessement
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| 653 |
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|a Trajectory Prediction
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| 653 |
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|a Pedestrian
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a Radar and Camera
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| 653 |
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|a Sensor Data Fusion
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
0 |
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|a Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
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|a 10.5445/KSP/1000035932
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/48227
|z DOAB: description of the publication
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|u https://www.ksp.kit.edu/9783731500735
|7 0
|x Verlag
|3 Volltext
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|a 600
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|a In order to develop a driver assistance system for pedestrian protection, pedestrians in the environment of a truck are detected by radars and a camera and are tracked across distributed fields of view using a Joint Integrated Probabilistic Data Association filter. A robust approach for prediction of the system vehicles trajectory is presented. It serves the computation of a probabilistic collision risk based on reachable sets where different sources of uncertainty are taken into account.
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