Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …

High-Definition (HD) maps can provide precise geometric and semantic information of static
traffic environments for autonomous driving. Road-boundary is one important information …

High definition (HD) map has become indispensable to autonomous driving systems, but its
automated construction is challenging. Since road boundary lines are basic elements of the …

Effective detection of curbs is crucial for the perception and localization of autonomous
vehicles, but, in practical applications, complex road scenes and the occlusion of curbs by …

A point cloud acquired through a Light Detection And Ranging (LiDAR) sensor can be
illustrated as a continuous frame with a time axis. Since the frame-by-frame point cloud has …

Summary Advancements in Earth Observation (EO) technologies show huge potential for
systematic and temporal assessment of forest regions. Space‐borne datasets with synoptic …

Autonomous Racing is gaining increasing publicity as an attractive showcase of state-of-the-
art technologies and the enhanced algorithms used for autonomous driving. The Indy …

Urban planning, noise propagation modelling, viewshed analysis, etc., require
determination of routes or supply lines for propagation. A point-to-point routing algorithm is …

The French National Forest Inventory provides detailed forest information up to large
national and regional scales. Forest inventory for small areas of interest within a large …

We present a GPU-accelerated collision detection method for the navigation of vehicles in
enclosed spaces represented using large point clouds. Our approach takes a CAD model of …