Efficient Ground Truth Generation based on Spatio-temporal Properties for Lane Prediction Model

Jun Shiwaku, Hiroki Takahashi

2015

Abstract

Automobile safety has developed rapidly to prevent traffic accidents. Because of these techniques, traffic accidents are decreasing year by year. There are however more than 4,000 fatal traffic accident cases per year in Japan. Many lane detection systems are investigated. Those systems should be evaluated precisely and ground truth is generally used for evaluations. Ground truth generation is however very hard and time-consuming work. In this paper, an efficient ground truth generation method for reducing manual operations is proposed. Firstly, time slice images are obtained from an in-vehicle video. Secondly, meanderings of the vehicle against a lane are corrected by minimizing sum of squared differences of adjacent rows in the nearest time slice image. Then, lane markers in all time slice images are extracted by propagating lane marker information from the bottom time slice image to the upper one. Ground Truth is generated with contour information of the lane markers offline. Offline ground truth generation methods are often used for constructing the lane prediction model.

Paper Citation

in Harvard Style

Shiwaku J. and Takahashi H. (2015). Efficient Ground Truth Generation based on Spatio-temporal Properties for Lane Prediction Model . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 455-460. DOI: 10.5220/0005315004550460

in Bibtex Style

@conference{visapp15,
author={Jun Shiwaku and Hiroki Takahashi},
title={Efficient Ground Truth Generation based on Spatio-temporal Properties for Lane Prediction Model},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={455-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005315004550460},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Efficient Ground Truth Generation based on Spatio-temporal Properties for Lane Prediction Model
SN - 978-989-758-090-1
AU - Shiwaku J.
AU - Takahashi H.
PY - 2015
SP - 455
EP - 460
DO - 10.5220/0005315004550460