Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-05-28 000000m 10:26:36 - Overview

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Name (Institute + Shorttitle)Automotive Multi-sensor (AMUSE) 
Description (include details on usage, files and paper references)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.

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A short description of the dataset can be found in the paper published:

Philipp Koschorrek and Tommaso Piccini and Per Öberg 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 
URL Linkhttp://www.cvl.isy.liu.se/research/datasets/amuse/ 
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Tags (single words, spaced)streetside urban inertial video image traffic city api 
Last Changed2017-05-28 
Turing (2.12+3.25=?) :-)