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Fusion routine independent implementation of advanced driver assistance systems with polygonal environment models.

, , and . FUSION, page 347-354. IEEE, (2016)

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Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations., , , and . IRC, page 383-390. IEEE, (2020)Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems., , , and . Intelligent Vehicles Symposium, page 760-765. IEEE, (2010)Dynamic level of detail 3D occupancy grids for automotive use., , , and . Intelligent Vehicles Symposium, page 269-274. IEEE, (2010)Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems., , and . IEEE Intell. Transport. Syst. Mag., 2 (1): 6-17 (2010)Reliable automotive pre-crash system with out-of-sequence measurement processing., , , , , , and . Intelligent Vehicles Symposium, page 1022-1027. IEEE, (2010)A sensor independent probabilistic fusion system for driver assistance systems., , and . ITSC, page 1-6. IEEE, (2009)Generalized fusion of heterogeneous sensor measurements for multi target tracking., , and . FUSION, page 1-8. IEEE, (2010)Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter., , , and . FUSION, page 1-8. IEEE, (2006)Heterogeneous Fusion of Video, LIDAR and ESP Data for Automotive ACC Vehicle Tracking., , , and . MFI, page 139-144. IEEE, (2006)Iterative Deep Fusion for 3D Semantic Segmentation., , , and . IRC, page 391-397. IEEE, (2020)