Radar is a key component of the suite of perception sensors used for safe and reliable
navigation of autonomous vehicles. Its unique capabilities include high-resolution velocity …

Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …

Self-driving vehicles are posing new challenges as the automation level defined in the SAE
International standards for autonomous driving is increased. A pivotal task in autonomous …

In this paper, we propose a multiple animal tracking system in drone footage that is
designed and implemented using a Deep Neural Network (DNN) based tracking-by …

This document introduces the RadIOCD, which is a dataset that contains sparse point cloud
representations of indoor objects, collected by subjects wearing a commercial off-the-shelf …

A frequent cause of auto accidents is disregarding the proximal traffic of an ego-vehicle
during lane changing. Presumably, in a split-second-decision situation we may prevent an …

Recent developments in the state-of-the-art Intelligent Transportation Systems enable
autonomous vehicles to offer significant safety services to take appropriate and prompt …

Depth perception is crucial for spatial understanding and has traditionally been achieved
through stereoscopic imaging. However, the precision of depth estimation using …

The analysis of the state of the literature in the field of methods of perception and control of
the movement of autonomous vehicles shows the possibilities of improving them by using an …

On high-speed roads, there are certain blind areas within the radar coverage, especially
when the blind zone is in curved road sections; because the radar does not have the …