Automotive Multi-sensor (AMUSE)

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 SEQUENCESDATASET DISTRIBUTIONAPI DOWNLOADFURTHER INFORMATIONCOPYRIGHT AND CONTACTA short description of the dataset can be found in the paper published:Philipp Koschorrek and Tommaso Piccini and Per Öberg andMichael Felsberg and Lars Nielsen and Rudolf MesterA multi-sensor traffic scene dataset with omnidirectional videoGround Truth - What is a good dataset? CVPR Workshop 2013

Dataset Attributes

CategoriesStreet, Urban, Inertial, Video, Image, Traffic, City, Api