A dataset for audio-video based vehicle speed estimation

• URL: http://arxiv.org/abs/2212.01651v1
• Date: Sat, 3 Dec 2022 17:02:57 GMT
• Title: A dataset for audio-video based vehicle speed estimation
• Authors: Slobodan Djukanovi\'c, Nikola Bulatovi\'c, Ivana \v{C}avor
• Abstract summary: We present a dataset of on-road audio-video recordings of single vehicles passing by a camera at known speeds. The dataset is fully available and intended as a public benchmark to facilitate research in audio-video vehicle speed estimation.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Accurate speed estimation of road vehicles is important for several reasons. One is speed limit enforcement, which represents a crucial tool in decreasing traffic accidents and fatalities. Compared with other research areas and domains, the number of available datasets for vehicle speed estimation is still very limited. We present a dataset of on-road audio-video recordings of single vehicles passing by a camera at known speeds, maintained stable by the on-board cruise control. The dataset contains thirteen vehicles, selected to be as diverse as possible in terms of manufacturer, production year, engine type, power and transmission, resulting in a total of $ 400 $ annotated audio-video recordings. The dataset is fully available and intended as a public benchmark to facilitate research in audio-video vehicle speed estimation. In addition to the dataset, we propose a cross-validation strategy which can be used in a machine learning model for vehicle speed estimation. Two approaches to training-validation split of the dataset are proposed.

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