道路信息在多个应用领域中发挥着基础性的作用. 光学遥感影像能够以较高的空间分辨率对目标
地物进行精细化解译, 可大幅增强地物目标的提取能力. 充分利用光学遥感影像丰富的几何纹理 …

Road detection with high-precision from very high resolution remote sensing imagery is very
important in a huge variety of applications. However, most existing approaches do not …

Autonomous driving requires accurate local scene understanding information. To this end,
autonomous agents deploy object detection and online BEV lane graph extraction methods …

Creating high definition maps that contain precise information of static elements of the scene
is of utmost importance for enabling self driving cars to drive safely. In this paper, we tackle …

A method for the automatic detection and vectorization of roads from lidar data is presented.
To extract roads from a lidar point cloud, a hierarchical classification technique is used to …

LiDAR-derived digital elevation models can reveal road networks located beneath dense
forest canopy. This study tests the accuracy of forest road characteristics mapped using …

Inundation disasters, caused by sudden water level rise or rapid flow, occur frequently in
various parts of the world. Such catastrophes strike not only in thinly populated flood plains …

This paper is focused on the detection and delineation of curbs and street boundaries using
a 3D point cloud registered by a mobile laser scanner (MLS) system. Non-manual roadside …

Recent growth of the geospatial information on the web has made it possible to easily
access various maps and orthoimagery. By integrating these maps and imagery, we can …

Background The segmentation of the cortical interface between grey and white matter in
magnetic resonance images (MRI) is highly challenging during the first post-natal year. First …