The paper addresses acoustic vehicle speed estimation using single sensor measurements.
We introduce a new speed-dependent feature based on the attenuation of the sound …

The paper addresses acoustic vehicle detection and speed estimation from single sensor
measurements. We predict the vehicle's pass-by instant by minimizing clipped vehicle-to …

The effectiveness of intelligent transportation systems (ITS) strongly relies on the quality of
input data provided by traffic monitoring sensors. Conventional traffic sensors such as …

This paper presents an approach to acoustic vehicle speed estimation using audio data
obtained from single-sensor measurements. One-dimensional convolutional neural network …

We consider improving the performance of a recently proposed sound-based vehicle speed
estimation method. In the original method, an intermediate feature, referred to as the …

In the design of traffic monitoring solutions for optimizing the urban mobility infrastructure,
acoustic vehicle counting models have received attention due to their cost effectiveness and …

Traffic surveillance systems are utilized to collect and monitor the traffic condition data of the
road networks. This data plays a crucial role in a variety of applications of the Intelligent …

Microphone array techniques are widely used in sound source localization and smart city
acoustic-based traffic monitoring, but these applications face significant challenges due to …

The conventional approaches for traffic intensity (TI) detection in smart cities use specialized
sensors, such as loop detectors, cameras, and radar. These sensors come with high costs …

Many important computer vision tasks are naturally formulated to have a non-differentiable
objective. Therefore, the standard, dominant training procedure of a neural network is not …