GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …

The rapid development and growth of drones as a remote sensing platforms as well as
advances in the miniaturization of instruments and data systems, have resulted in an …

Asphalt roads are the basic component of a land transportation system, and the quality of
asphalt roads will decrease during the use stage because of the aging and deterioration of …

Vehicle detection has been an important research field for years as there are a lot of
valuable applications, ranging from support of traffic planners to real-time traffic …

In order to realize a precise and accurate traffic study, a method to evaluate the real traffic
flow conditions in urban areas based on videos acquired by an UAV, Unmanned Aerial …

Current traffic research is mostly based on data from fixed-installed sensors like induction
loops, bridge sensors, and cameras. Thereby, the traffic flow on main roads can partially be …

ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …

Given that ground stationary infrastructures for traffic monitoring are barely able to handle
everyday traffic volumes, there is a risk that they could fail altogether in situations arising …

High resolution multispectral satellite images with multi-angular look capability have
tremendous potential applications. We present an object tracking algorithm that includes …

Automatic vehicle extraction from an airborne laser scanning (ALS) point cloud is very useful
for many applications, such as digital elevation model generation and 3D building …