Driving dataset in the wild: Various driving scenes

Kurt Keutzer and Byung Gon Song

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2016-92
May 13, 2016

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-92.pdf

For our dataset, we tried to collect data that includes accidents as well as diverse conditions described below. For data acquisition, we used YouTube to collect videos that have a Creative Commons License. For deduplication, first we split the videos into scenes, and then we used fingerprinting methods. Lastly, we created annotations on some of the scenes using Video Annotation Tool from Irvine, California (VATIC) software. The goal was to annotate every instance for each class: ‘cyclist’, ‘van’, ‘tram’, ‘car’, ‘misc’, ‘pedestrian’, ‘truck’, ‘person sitting’, and ‘dontcare’ as KITTI has done.

Advisor: Kurt Keutzer


BibTeX citation:

@mastersthesis{Keutzer:EECS-2016-92,
    Author = {Keutzer, Kurt and Song, Byung Gon},
    Editor = {Chuang, John},
    Title = {Driving dataset in the wild: Various driving scenes},
    School = {EECS Department, University of California, Berkeley},
    Year = {2016},
    Month = {May},
    URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-92.html},
    Number = {UCB/EECS-2016-92},
    Abstract = {For our dataset, we tried to collect data that includes accidents as well as diverse conditions described below. For data acquisition, we used YouTube to collect videos that have a Creative Commons License. For deduplication, first we split the videos into scenes, and then we used fingerprinting methods. Lastly, we created annotations on some of the scenes using Video Annotation Tool from Irvine, California (VATIC) software. The goal was to annotate every instance for each class: ‘cyclist’, ‘van’, ‘tram’, ‘car’, ‘misc’, ‘pedestrian’, ‘truck’, ‘person sitting’, and ‘dontcare’ as KITTI has done.}
}

EndNote citation:

%0 Thesis
%A Keutzer, Kurt
%A Song, Byung Gon
%E Chuang, John
%T Driving dataset in the wild: Various driving scenes
%I EECS Department, University of California, Berkeley
%D 2016
%8 May 13
%@ UCB/EECS-2016-92
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-92.html
%F Keutzer:EECS-2016-92