Far-range perception is essential for intelligent transportation systems. The main challenge
of far-range perception is due to the difficulty of performing accurate object detection and …

3D imaging radar offers robust perception capability through visually demanding
environments due to the unique penetrative and reflective properties of millimeter waves …

Robotic geo-fencing and surveillance systems require accurate monitoring of objects if/when
they violate perimeter restrictions. In this paper, we seek a solution for depth imaging of such …

Multi-target detection and tracking based on fusion of millimeter-wave (MMW) radar and
camera play an important role in intelligent transportation system (ITS). However, most …

In the last decade, radar is gaining its importance in perception modules of cars and
infrastructure, due to its robustness against various weather and light conditions. Al-though …

Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

To develop a multi-modal in-traffic bridge deck scanning device, we need to estimate the
relative pose between a ground penetrating radar (GPR) and a camera. Unlike camera …

This paper addresses the issue of frontal object perception in real-world traffic scenarios.
Accurate and real-time frontal object perception plays a key role in Advanced Driver …

Vehicle detection is a crucial task for autonomous driving and demands high accuracy and
real‐time speed. Considering that the current deep learning object detection model size is …

One of the key aspects of modern-day robotics research is the development of perceptual
capabilities of agents. Robots need to understand their surroundings in order to reason or …