Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Motorcycle Detection for ADAS through Camera and V2V Communication, a Comparative Analysis of two Modern Technologies
Year:2017
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
Motorcycles are one of the most dangerous means of transportation. Its death toll is higher than in others, due to the inherent vulnerability of motorcycle drivers. The latest strategies in Advanced Driving Assistance Systems (ADAS) are trying to mitigate this problem by applying the advances of modern technologies to the road transport. This paper presents two different approaches on motorcycle protection, based on two of the most modern available technologies in ADAS, i.e. Computer Vision and Vehicle to Vehicle Communication (V2V). The first approach is based on data fusion of Laser Scanner and Computer Vision, providing accurate obstacle detection and localization based on laser scanner, and obstacle classification using computer vision and laser. The second approach is based on ad-hoc V2V technology and provides detection in case of occlusion for visual sensors. Both technologies have been tested in the presented work, and a performance comparison is given. Tests performed in different driving situations allows to measure the performance of every algorithm and the limitations of each of them based on empirical and scientific foundations. The conclusions of the presented work help foster of expert systems in the automotive sector by providing further discussion of the viability and impact from each of these systems in real scenarios.
International
Si
JCR
Si
Title
Expert Systems with Applications
ISBN
0957-4174
Impact factor JCR
Impact info
Volume
Journal number
From page
148
To page
159
Month
JULIO
Ranking
Participants
  • Autor: Jose Javier Anaya Catalan (UPM)
  • Autor: Aurelio Ponz (Universidad Carlos III)
  • Autor: Fernando Garcia (Universidad Carlos III)
  • Autor: Edgar Talavera Muñoz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Inteligencia Artificial
  • Departamento: Sistemas Informáticos
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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