Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …

Information and communication technologies (ICTs) have a profound impact on the current
state and envisioned future of automobiles. This paper presents an overview of research on …

Extracting roads from satellite imagery is a promising approach to update the dynamic
changes of road networks efficiently and timely. However, it is challenging due to the …

Extracting roads from complex high-resolution remote sensing images to update road
networks has become a recent research focus. How to apply the contextual spatial …

Techniques for identifying potholes on road surfaces aim at develo** strategies for real-
time or offline identification of potholes, to support real-time control of a vehicle (for driver …

In this paper, we propose a generalized Laplacian of Gaussian (LoG)(gLoG) filter for
detecting general elliptical blob structures in images. The gLoG filter can not only accurately …

Lane detection is an important element in improving driving safety. In this paper, we propose
a real-time and illumination invariant lane detection method for lane departure warning …

An unmanned aerial vehicle (UAV) has many applications in a variety of fields. Detection
and tracking of a specific road in UAV videos play an important role in automatic UAV …

One of the fundamental challenges to scale self-driving is being able to create accurate high
definition maps (HD maps) with low cost. Current attempts to automate this pro-cess typically …

In the last decades, mobile robotics has become a very interesting research topic in the field
of robotics, mainly because of population ageing and the recent pandemic emergency …