Paper
30 April 2018 Road sign identification and geolocation using JTC and VIAPIX module
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Abstract
In this paper we present a novel approach for road sign identification and geolocation based on Joint Transform Correlator “JTC” and VIAPIX module. The proposed method is divided into three parts: identification, gathering and geolocation. The first part permits to detect and identify road signs on images acquired by the VIAPIX module [1] developed by our company ACTRIS [2]. To do so, we are based on our own method cited in [3] for road sign identification. The second part of our proposed approach consists in gathering the identified road sign by using the JTC technique [4]. Since the VIAPIX® module provides images at an interval of one image per meter, we identify each road sign by finding the number of images where this road sign has been recognized while computing thereby on each of these images its corresponding pixel coordinates. Finally, each road sign is geolocated using its pixel coordinates on several images. At this stage, we are based on the axial stereovision method [5]. Indeed, relying on the pixel coordinates and the distance between different images, we compute the 3D coordinates of each road sign. Thus, GPS coordinates can be then found using the GPS position of the vehicle basing on Vincenty formulae [6].
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yousri Ouerhani, Marwa Elbouz, Ayman Alfalou, Wissam Kaddah, and Marc Desthieux "Road sign identification and geolocation using JTC and VIAPIX module", Proc. SPIE 10649, Pattern Recognition and Tracking XXIX, 106490J (30 April 2018); https://doi.org/10.1117/12.2312490
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Roads

Cameras

Global Positioning System

Imaging systems

3D image processing

Fourier transforms

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