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Authors: Chih-Hung Hsu 1 and Huei-Yung Lin 2

Affiliations: 1 National Chung Cheng University, Taiwan ; 2 Advanced Institute of Manufacturing with High-Tech Innovation and National Chung Cheng University, Taiwan

Keyword(s): Visual Navigation Assistance, Image Matching, Panoramic Image.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Tracking and Visual Navigation

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.

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Paper citation in several formats:
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 (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 583-589. DOI: 10.5220/0005674405830589

@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 (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={583-589},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005674405830589},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Visual Navigation with Street View Image Matching
SN - 978-989-758-175-5
IS - 2184-4321
AU - Hsu, C.
AU - Lin, H.
PY - 2016
SP - 583
EP - 589
DO - 10.5220/0005674405830589
PB - SciTePress

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