SPEED BUMP DETECTION FOR AUTONOMOUS VEHICLES USING SIGNAL-PROCESSING TECHNIQUES

Authors

Mohamad Darwiche, Assistant Professor, Faculty of Engineering, Beirut Arab University, Beirut, LebanonFollow
Wassim El-Hajj-Chehade, Assistant Professor, Faculty of Science, Beirut Arab University,Beirut, LebanonFollow

Keywords

Speed Bumps, Intelligent Transportation System, Surface Monitoring, Image Processing.

Disciplines

Architecture | Business | Engineering | Physical Sciences and Mathematics

Abstract

Autonomous vehicle (AV) is one of the emerging technologies that have far-reaching applications and implications in smart cities. Among the current challenges of the Smart City, Traffic management is of utmost importance. AV technologies can decrease transportation cost and can be used for efficient management and control of traffic flows. Traffic management strongly depends on the road surface condition. Abnormalities in the road, such as manholes and potholes, can cause accidents when not identified by the drivers. Furthermore, human-induced abnormalities, such as speed bumps, could also cause accidents. Detecting road abnormalities provide safety to human and vehicles. Current researches on speed bump detection are based on using sensors, accelerometer and GPS. This makes them vulnerable to GPS error, network overload, delay and battery draining. To overcome these problems, we propose a novel method for speed bump detection that combines both image and signal processing techniques. The advantage of the proposed approach consists in detecting speed bumps accurately without using any special sensors, hardware, Smartphone and GPS.

Recommended Citation

Darwiche, Mohamad and El-Hajj-Chehade, Wassim (2019) "SPEED BUMP DETECTION FOR AUTONOMOUS VEHICLES USING SIGNAL-PROCESSING TECHNIQUES," BAU Journal - Science and Technology: Vol. 1: Iss. 1, Article 5.
DOI: https://doi.org/10.54729/2959-331X.1006

ISSN

2959-331X