Demo: A Vehicular-Network Based Speed-Bump Detection Approach

Timely and accurate detection of speed bumps poses a significant challenge, particularly in large-scale vehicular networks where maintaining a low false positive detection rate is crucial to minimize manual verification efforts. In this paper, we propose an accurate speed bump detection algorithm wi...

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Bibliographic Details
Published in2024 IEEE Vehicular Networking Conference (VNC) pp. 275 - 276
Main Authors Cao, Xiaofei, Farid, Yashar Zeiynali, Ucar, Seyhan, Sisbot, E. Akin, Oguchi, Kentaro
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.05.2024
Subjects
Accuracy
connected vehicle
Data visualization
Manuals
Operating systems
Pipelines
Reliability
Roads
speed bump detection
vehicular network
wavelet transform
wheels speed
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Summary:Timely and accurate detection of speed bumps poses a significant challenge, particularly in large-scale vehicular networks where maintaining a low false positive detection rate is crucial to minimize manual verification efforts. In this paper, we propose an accurate speed bump detection algorithm with a low false positive rate, which is essential for large-scale crowd -sourcing systems like connected vehicular networks. Our demonstration showcases the algorithm's pipeline, encompassing the data collection and processing of the in-vehicle system, data fusion and store in the network backend, and visualization of speed-bumps. The dataset utilized in this demonstration comprises real-world driving data stored in Robot Operating System (ROS) bag files. Our demonstration illustrates that the proposed speed bump detection and sharing system can reliably detect speed bumps and irregular road surfaces with zero false positive detections across all recorded data.
ISSN:2157-9865
DOI:10.1109/VNC61989.2024.10575947