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

Airborne light detection and ranging (LiDAR) surveying technology plays an important role
in road design, and it is increasingly implemented in the design stage. The ability of LiDAR …

The role of sensors such as cameras or LiDAR (Light Detection and Ranging) is crucial for
the environmental awareness of self-driving cars. However, the data collected from these …

The detection and recognition of unstructured roads in forest environments are critical for
smart forestry technology. Forest roads lack effective reference objects and manual signs …

To sustainably manage forest biodiversity and monitor changes in species patterning,
map** the spatial distribution of tree species is indispensable. Remote sensing can …

This study develops forest road recognition technology using deep learning-based image
processing to support the advancement of autonomous driving technology for forestry …

Logging trails are one of the main components of modern forestry. However, spotting the
accurate locations of old logging trails through common approaches is challenging and time …

RoadSens is a platform designed to expedite the digitalization process of forest roads, a
cornerstone of efficient forest operations and management. We incorporate stereo-vision …

Despite considerable developments in the archaeological application of lidar for detecting
roads, less attention has been given to studying road morphology using lidar. As a result …

Forest roads are a common land use feature with a significant impact on sediment yield and
the water sediment transport processes within a watershed, seriously disrupting the safety …