The automotive multi-sensor (AMUSE) dataset consists of inertial and other complementary sensor data combined with monocular, omnidirectional, high frame rate visual data taken in real traffic scenes during multiple test drives. DOWNLOAD SAMPLE SEQUENCES DATASET DISTRIBUTION API DOWNLOAD FURTHER INFORMATION COPYRIGHT AND CONTACT A short description of the dataset can be found in the paper published: Philipp Koschorrek and Tommaso Piccini and Per berg and Michael Felsberg and Lars Nielsen and Rudolf Mester A multi-sensor traffic scene dataset with omnidirectional video Ground Truth - What is a good dataset? CVPR Workshop 2013

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