TY - CONF A1 - Weidl, Galia A1 - Madsen, Anders L. A1 - Tereshchenko, Viacheslav A1 - Kaspar, Dietmar A1 - Breuel, Gabi T1 - Early Recognition of Maneuvers in Highway Traffic T2 - European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, July 2015 N2 - This paper presents an application of Bayesian networks where early recognition of traffic maneuver intention is achieved using features of lane change, representing the relative dynamics between vehicles on the same lane and the free space to neighbor vehicles back and front on the target lane. The classifiers have been deployed on the automotive target platform, which has severe constraints on time and space performance of the system. The test driving has been performed with encouraging results. Even earlier recognition is possible by considering the trend development of features, characterizing the dynamic driving process. The preliminary test results confirm feasibility. KW - Fahrerassistenzsystem Y1 - 2015 UR - https://opus4.kobv.de/opus4-h-ab/frontdoor/index/index/docId/2168 UR - https://www.researchgate.net/publication/300646375_Early_Recognition_of_Maneuvers_in_Highway_Traffic#fullTextFileContent ER -