Visual Navigation with Street View Image Matching

Chih-Hung Hsu, Huei-Yung Lin

2016

Abstract

The vision based navigation approach is a key to success for the driving assistance technology. In this work, we presents a visual navigation assistance system based on the geographic information of the vehicle and image matching between the online and pre-established data. With the rough GPS coordinates, we utilize the image retrieval algorithms to find the most similar image in the panoramic image database. The searching results are then compared with the input image for feature matching to find the landmarks in the panoramic image. By using the 360 field-of-view of the panoramic images, the camera’s heading can be calculated by the matching results. Finally, the landmark information is identified by the markers on the Google map as visual guidance and assistance.

Paper Citation

in Harvard Style

Hsu C. and Lin H. (2016). Visual Navigation with Street View Image Matching . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 583-589. DOI: 10.5220/0005674405830589

in Bibtex Style

@conference{visapp16,
author={Chih-Hung Hsu and Huei-Yung Lin},
title={Visual Navigation with Street View Image Matching},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={583-589},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005674405830589},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Visual Navigation with Street View Image Matching
SN - 978-989-758-175-5
AU - Hsu C.
AU - Lin H.
PY - 2016
SP - 583
EP - 589
DO - 10.5220/0005674405830589