Camera-based On-Road Detections for the Visually Impaired

  • Herein, we research the possibilities of assisting visually impaired pedestrians moving in traffic situations by using camera-based detection of relevant objects in their immediate surroundings. Therefore, we use and adapt algorithms from the field of driver assistance. We present a road background segmentation based on watersheds, whose results are used as input for the presented crosswalk and lane detection algorithms. The crosswalk detection is based on the application of two 1D mean filters and the lane detection on local computations of the EDF (Edge Distribution Function). In our evaluation, the described algorithms achieved good hit rates of 99.87 % (road segmentation), 98.64 % (crosswalk detection), and 97.89 % (lane detection).

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Metadaten
Author:Judith Jakob, József Tick
DOI:https://doi.org/10.12700/APH.17.3.2020.3.7
ISSN:1785-8860
Parent Title (English):Acta Polytechnica Hungarica
Document Type:Article (peer-reviewed)
Language:English
Year of Completion:2020
Release Date:2020/03/10
Tag:ADAS; Computer vision; Crosswalk detection; Driver assistance; Lane detection; Road segmentation; Visually impaired
Volume:17.2020
Issue:3
First Page:125
Last Page:146
Open Access:Frei verfügbar
Licence (German):License LogoEs gilt das UrhG