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

After more than 20 years of research, ADAS are common in modern vehicles available in the
market. Automated Driving systems, still in research phase and limited in their capabilities …

In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …

Efficient and accurate road boundary detection is a fundamental building component of the
perception system for autonomous driving. Specially, the challenges for road boundary …

Road boundary detection is essential for autonomous vehicle localization and decision-
making, especially under GPS signal loss and lane discontinuities. For road boundary …

Road-boundary detection is important for autonomous driving. It can be used to constrain
autonomous vehicles running on road areas to ensure driving safety. Compared with online …

The stable detection and tracking of high-speed vehicles on the road by using LiDAR can
input accurate information for the decision-making module and improve the driving safety of …

This paper presents a coarse-to-refined method for segmenting road curbs from Mobile
Laser Scanning (MLS) point clouds, encompassing both organized and unorganized data …

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

LiDAR sensors have great potential for enabling crop recognition (eg, plant height, canopy
area, plant spacing, and intra-row spacing measurements) and the recognition of …