Vision-based vehicle speed estimation: a survey
The need to accurately estimate the speed of road vehicles is becoming increasingly important
for at least two main reasons. First, the number of speed cameras installed worldwide
has been growing in recent years, as the introduction and enforcement of appropriate speed
limits are considered one of the most effective means to increase the road safety. Second,
traffic monitoring and forecasting in road networks plays a fundamental role to enhance
traffic, emissions and energy consumption in smart cities, being the speed of the vehicles
one of the most relevant parameters of the traffic state. Among the technologies available
for the accurate detection of vehicle speed, the use of vision-based systems brings great
challenges to be solved, but also great potential advantages, such as the drastic reduction
of costs due to the absence of expensive range sensors, and the possibility of identifying
vehicles accurately. This paper provides a review of vision-based vehicle speed estimation.
The terminology and the application domains are described and a complete taxonomy of
a large selection of works that categorizes all stages involved is proposed. An overview of
performance evaluation metrics and available datasets is provided. Finally, current limitations
and future directions are discussed.
FERNANDEZ LLORCA David;
HERNÁNDEZ MARTÍNEZ Antonio;
GARCÍA DAZA Iván;
2021-07-08
INST ENGINEERING TECHNOLOGY-IET
JRC123804
1751-956X (online),
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/itr2.12079,
https://publications.jrc.ec.europa.eu/repository/handle/JRC123804,
10.1049/itr2.12079 (online),
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