Real-time line matching based speed bump detection algorithm

Active safety is one of the main technologies in the modern automotive industry. Active safety is achieved with advanced sensors that employ Computer Vision algorithms. To assist the driver and eventually to achieve fully autonomous driving, these sensors must be able to perform functions like lane...

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Bibliographic Details
Published in:	2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME) pp. 246 - 249
Main Authors:	Sirbu, Cristina Laura, Tomoiu, Cristian, Fancsali-Boldizsar, Szilvia, Orhei, Ciprian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27-10-2021
Subjects:	dilated filters ED Lines Lane detection Matched filters Real-time systems Roads Safety Semantics Sensors Speed bump detection
Online Access:	Get full text
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Summary:	Active safety is one of the main technologies in the modern automotive industry. Active safety is achieved with advanced sensors that employ Computer Vision algorithms. To assist the driver and eventually to achieve fully autonomous driving, these sensors must be able to perform functions like lane detection, traffic signs recognition, detection of dynamic obstacles and irregularities of the road such as speed bumps. Speed bump detection is an important function for an advanced driver assistance system. In this paper, we present a speed bump detection algorithm that uses a mono-camera sensor as an input. We propose a real-time robust speed bump detection algorithm that first identifies a region of interest, based on semantic segmentation, and later on applies a novel variant of ED Line algorithm.
ISSN:	2642-7036
DOI:	10.1109/SIITME53254.2021.9663602