Multispectral Image Analysis (MIA) is an exciting area of research and famous due to its
utilization in geo monitoring, such as environmental change detection and region …

Multispectral image classification has long been the domain of static learning with
nonstationary input data assumption. The prevalence of Industrial Revolution 4.0 has led to …

Progressive urban density affects city centers especially and results in growing congestion,
lack of parking spaces, and increasing environmental costs of transportation, causing …

This paper introduces a comprehensive framework for the detection of behaviors indicative
of reduced concentration levels among motor vehicle operators, leveraging multimodal …

This paper presents the development of a solution to detect a driver's drowsiness in real time
and issue alerts to avoid possible traffic accidents. In particular, an analysis of the methods …

Nowadays, the problem of ensuring traffic safety has become especially acute due to the
growth of the number of enterprises engaged in goods transportation. The driver is the main …

Touchless interaction with electronic devices using gestures is gaining popularity and along
with speech-based communication offers their users natural and intuitive control methods …

Based on the two-lane, symmetric traffic model (STCA), a modified traffic model, including
Vehicle-to-Infrastructure (V2I) communication (STCA V2I model, for short), is presented. The …

Many physically challenged people are unable to operate standard electronic equipment or
computer input devices. They need special assistive technologies and one of the options is …

The paper discusses the problem of human body detection in severe lighting condition from
the driver perspective. Results of a study of threat situation recognition, defined as the …