Scipediacontent: Scipediacontent moved page Draft Content 539501994 to Musleh et al 2010a

2021-02-12T15:19:11Z

Scipediacontent moved page Draft Content 539501994 to Musleh et al 2010a

Scipediacontent: Created page with " == Abstract == The lack of trustworthy sensors makes development of Advanced Driver Assistance System (ADAS) applications a tough task. It is necessary to develop intelligen..."

2021-02-12T15:19:08Z

Created page with " == Abstract == The lack of trustworthy sensors makes development of Advanced Driver Assistance System (ADAS) applications a tough task. It is necessary to develop intelligen..."

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== Abstract ==

The lack of trustworthy sensors makes development of Advanced Driver Assistance System (ADAS) applications a tough task. It is necessary to develop intelligent systems by combining reliable sensors and real-time algorithms to send the proper, accurate messages to the drivers. In this article, an application to detect and predict the movement of pedestrians in order to prevent an imminent collision has been developed and tested under real conditions. The proposed application, first, accurately measures the position of obstacles using a two-sensor hybrid fusion approach: a stereo camera vision system and a laser scanner. Second, it correctly identifies pedestrians using intelligent algorithms based on polylines and pattern recognition related to leg positions (laser subsystem) and dense disparity maps and u-v disparity (vision subsystem). Third, it uses statistical validation gates and confidence regions to track the pedestrian within the detection zones of the sensors and predict their position in the upcoming frames. The intelligent sensor application has been experimentally tested with success while tracking pedestrians that cross and move in zigzag fashion in front of a vehicle.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_539501994-beopen562-9680-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/s100908028 http://dx.doi.org/10.3390/s100908028] under the license https://creativecommons.org/licenses/by

* [http://europepmc.org/articles/PMC3231198 http://europepmc.org/articles/PMC3231198] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/1424-8220/10/9/8028/pdf https://www.mdpi.com/1424-8220/10/9/8028/pdf]

* [http://www.mdpi.com/1424-8220/10/9/8028 http://www.mdpi.com/1424-8220/10/9/8028],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license cc-by

* [http://www.mdpi.com/1424-8220/10/9/8028/pdf http://www.mdpi.com/1424-8220/10/9/8028/pdf],
: [http://dx.doi.org/10.3390/s100908028 http://dx.doi.org/10.3390/s100908028]

* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231198 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231198],
: [https://www.mdpi.com/1424-8220/10/9/8028/pdf https://www.mdpi.com/1424-8220/10/9/8028/pdf],
: [https://dblp.uni-trier.de/db/journals/sensors/sensors10.html#Musleh0OAE10 https://dblp.uni-trier.de/db/journals/sensors/sensors10.html#Musleh0OAE10],
: [https://www.mdpi.com/1424-8220/10/9/8028 https://www.mdpi.com/1424-8220/10/9/8028],
: [http://europepmc.org/articles/PMC3231198 http://europepmc.org/articles/PMC3231198],
: [https://www.researchgate.net/profile/Arturo_De_la_Escalera/publication/45945628_Identifying_and_Tracking_Pedestrians_Based_on_Sensor_Fusion_and_Motion_Stability_Predictions/links/00b4951710217e302b000000.pdf https://www.researchgate.net/profile/Arturo_De_la_Escalera/publication/45945628_Identifying_and_Tracking_Pedestrians_Based_on_Sensor_Fusion_and_Motion_Stability_Predictions/links/00b4951710217e302b000000.pdf],
: [https://doi.org/10.3390/s100908028 https://doi.org/10.3390/s100908028],
: [https://academic.microsoft.com/#/detail/2131689832 https://academic.microsoft.com/#/detail/2131689832] under the license https://creativecommons.org/licenses/by/4.0/

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Musleh et al 2010a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 539501994 to Musleh et al 2010a

Scipediacontent: Created page with " == Abstract == The lack of trustworthy sensors makes development of Advanced Driver Assistance System (ADAS) applications a tough task. It is necessary to develop intelligen..."