García, FernandoPonz Vila, AurelioMartín Gómez, DavidEscalera Hueso, Arturo de laArmingol Moreno, José María2016-09-272016-09-272014-05-12Computer vision and laser scanner road environment perception. IWSSIP2014, 21st International Conference on Systems, Signals and Image Processing: Proceedings. : IEEE. Pp. 63-66978-953-184-191-7https://hdl.handle.net/10016/23645Data fusion procedure is presented to enhance classical Advanced Driver Assistance Systems (ADAS). The novel vehicle safety approach, combines two classical sensors: computer vision and laser scanner. Laser scanner algorithm performs detection of vehicles and pedestrians based on pattern matching algorithms. Computer vision approach is based on Haar-Like features for vehicles and Histogram of Oriented Gradients (HOG) features for pedestrians. The high level fusion procedure uses Kalman Filter and Joint Probabilistic Data Association (JPDA) algorithm to provide high level detection. Results proved that by means of data fusion, the performance of the system is enhanced.5application/pdfeng© 2014 IEEEClassification algorithmsClutterData integrationEquationsFiltering algorithmsMathematical modelRotation measurementconference paperRobótica e Informática Industrialopen access6366IWSSIP2014, 21st International Conference on Systems, Signals and Image Processing: ProceedingsCC/0000023327