García, FernandoEscalera Hueso, Arturo de laArmingol Moreno, José María2014-06-112014-06-112013-03-11International technology robotics applications: Proceedings of the 2nd INTERA Conference, held in Oviedo, Spain, March 2013. Part III. : Springer, 2014, pp. 79-88978-3-319-02331-12213-8986https://hdl.handle.net/10016/18980A novel approach for vehicle and pedestrian detection based on data fusion techniques is presented. The work fuses information from a 2D laser scanner and a computer camera, to provide detection and classification of vehicles and pedestrians in road environments. Thanks to the data fusion approach, the limitations of each sensor are overcome. Thus reliable system is provided, fulfilling the demands of road safety applications. Classification is performed using each sensor independently. Laser scanner approach is based in pattern matching and vision approach is based in the classical Histogram of Oriented Gradients features approach. A higher stage performs data fusion using Kalman Filter and Global Nearest Neighbors.10application/pdfeng© 2014 Springer International PublishingUser InterfacesHuman Computer InteractionRoboticsAutomationEnergy efficiencyconference paperRobótica e Informática Industrial10.1007/978-3-319-02332-8_8open access7988International Technology Robotics Applications: Proceedings of the 2nd INTERA Conference, held in Oviedo, Spain, March 2013. Part IIICC/0000019337