The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs)
imagery heavily relies on the availability of annotated high-resolution aerial data. However …

Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in
advancing geographic information science (GIS) and Earth observation to a new stage …

The acceleration of urbanization and the increasing demand for precise city planning have
made the extraction of buildings and roads from remote sensing images crucial. Deep …

High-definition map is an essential tool for route measurement, planning and navigation of
intelligent vehicles. Yet its creation is still a persisting challenge, especially in creating the …

Vision-based identification of lane area and lane marking on the road is an indispensable
function for intelligent driving vehicles, especially for localization, mapping and planning …

Accurate road extraction and recognition of roadside fruit in complex orchard environments
are essential prerequisites for robotic fruit picking and walking behavioral decisions. In this …

Slender urban road facilities (SURFs) with extreme aspect ratios are essential roles of the
road network and exist everywhere in urban scenarios, such as street lamps, traffic lights …

Artificial Intelligence (AI) combined with image processing has shown significant
improvements through new techniques such as Machine Learning (ML) models. This paper …

Polarimetric synthetic aperture radar (PolSAR) images with multiple polarimetric channels
have high discrimination ability. So, they are appropriate data for classification applications …

The European Commission (EC) has published a European Union (EU) Road Safety
Framework for the period 2021 to 2030 to reduce road fatalities. In addition, the EC with the …