Scipediacontent: Scipediacontent moved page Draft Content 759026265 to Escalera et al 2013b

2021-02-01T21:43:42Z

Scipediacontent moved page Draft Content 759026265 to Escalera et al 2013b

Scipediacontent: Created page with " == Abstract == Fusion is becoming a classic topic in Intelligent Transport System (ITS) society. The lack of trustworthy sensors requires the combination of several devic..."

2021-02-01T21:43:38Z

Created page with " == Abstract == Fusion is becoming a classic topic in Intelligent Transport System (ITS) society. The lack of trustworthy sensors requires the combination of several devic..."

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== Abstract ==

Fusion is becoming a classic topic in Intelligent Transport System (ITS) society. The lack of trustworthy sensors requires the combination of several devices to provide reliable detections. In this paper a novel approach, that takes advantage of the Joint Probabilistic Data Association technique (JPDA) for data association, is presented. The approach uses one of the most powerful techniques of Multiple Target Tracking theory and adapts it to fulfill the strong requirements of road safety applications. The different test performed proved that a powerful association technique can enhance the capacity of Advance Driver Assistance Systems. Two main sensors are used for pedestrian detection: laser scanner and computer vision. Furthermore, the approach takes advantage of the availability of other information sources i.e. context information and online information (GPS). The detections are fused using JPDA, enhancing the capacities of classical pedestrian detection systems, mainly based in visual information. The test performed also showed that JPDA improved the results offered by other data association techniques, e.g. Global Nearest Neighbors. This work was supported by the Spanish Government through the Cicyt projects (GRANT TRA2010-20225-C03- 01) and (GRANT TRA2011-29454-C03-02). CAM through SEGAUTO-II ( S2009/DPI-1509) .

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10016/23622 http://hdl.handle.net/10016/23622]

* [https://e-archivo.uc3m.es/bitstream/10016/23622/1/joint_IVS_2013_ps.pdf https://e-archivo.uc3m.es/bitstream/10016/23622/1/joint_IVS_2013_ps.pdf]

* [http://xplorestaging.ieee.org/ielx7/6601112/6629437/06629653.pdf?arnumber=6629653 http://xplorestaging.ieee.org/ielx7/6601112/6629437/06629653.pdf?arnumber=6629653],
: [http://dx.doi.org/10.1109/ivs.2013.6629653 http://dx.doi.org/10.1109/ivs.2013.6629653]

* [https://dblp.uni-trier.de/db/conf/ivs/ivs2013.html#0002EA13 https://dblp.uni-trier.de/db/conf/ivs/ivs2013.html#0002EA13],
: [https://ieeexplore.ieee.org/abstract/document/6629653 https://ieeexplore.ieee.org/abstract/document/6629653],
: [http://ieeexplore.ieee.org/abstract/document/6629653 http://ieeexplore.ieee.org/abstract/document/6629653],
: [https://academic.microsoft.com/#/detail/2057029178 https://academic.microsoft.com/#/detail/2057029178]

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Escalera et al 2013b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 759026265 to Escalera et al 2013b

Scipediacontent: Created page with " == Abstract == Fusion is becoming a classic topic in Intelligent Transport System (ITS) society. The lack of trustworthy sensors requires the combination of several devic..."