2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) 2018
DOI: 10.1109/cinti.2018.8928211
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CoPeD: Comparable Pedestrian Driver Data Set for Traffic Scenarios

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Cited by 3 publications
(6 citation statements)
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“…The output of the road segmentation was used as input for the ROI computation of crosswalk and lane detection. The algorithms were tested on a subset of the CoPeD data set [21]. In the following, we give the relative path to the used sequences inside the folder that can be downloaded from the CoPeD website (Link: see Chapter 1): (Table 3), and lane detection ( Table 4).…”
Section: Discussionmentioning
confidence: 99%
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“…The output of the road segmentation was used as input for the ROI computation of crosswalk and lane detection. The algorithms were tested on a subset of the CoPeD data set [21]. In the following, we give the relative path to the used sequences inside the folder that can be downloaded from the CoPeD website (Link: see Chapter 1): (Table 3), and lane detection ( Table 4).…”
Section: Discussionmentioning
confidence: 99%
“…the KITTI data set [14] and the German Traffic Sign Detection Benchmark [16], there are few data sets from pedestrian perspective and no data sets with comparable material from both perspectives. Therefore, we created the CoPeD (Comparable Pedestrian Driver) data set for traffic scenarios [21]. It is licensed under the Creative Commons Attribution 4.0 International License 1 and hosted publicly 2 .…”
Section: Previous Workmentioning
confidence: 99%
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