Title :
Fusion and filtering of multidimensional objects for driver assistance systems
Author :
Becker, Jan C. ; Stampfle, Martin
Author_Institution :
Corporate Res. & Dev., Robert Bosch GmbH, Stuttgart, Germany
Abstract :
In this paper, an object description for the use in data fusion applications for driver assistance systems is presented. Furthermore, an approach for the fusion of data based on this description is given. This algorithm is also applicable to the filtering problem due to its universal formulation. The usefulness and the performance of the algorithms are evaluated by experimental results. The scope of this work is to realize vehicle surroundings monitoring for urban driver assistance systems based on sensor data fusion.
Keywords :
driver information systems; filtering theory; object detection; sensor fusion; vehicles; driver assistance systems; filtering multidimensional object; filtering problem; fusing multidimensional object; sensor data fusion; vehicles; Adaptive control; Control systems; Filtering; Multidimensional systems; Object detection; Programmable control; Road transportation; Sensor fusion; Sensor systems; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336454
