This paper describes the winning contribution to the 2019 IEEE GRSS Data Fusion Contest
Multi-view Semantic Stereo Challenge. In this challenge, a digital surface model (DSM) and …

Deep learning has shown great strength in regions of interest (ROIs) detection for remote
sensing images (RSIs). However, for most of RSIs, the unbalanced distribution of positive …

高精度地图是实现自动驾驶技术必不可少的基础设施, 车道线是高精度地图车道级路网的重要
组成部分. 以往高精度地图的车道线检测多基于车载摄像头数据, 存在成像范围有限 …

Accurate extraction of urban features such as buildings and roads lays the foundation for the
current trends of digital twins of urban systems to support planning, monitoring, navigation …

Traditional data collection techniques at intersections are known to be time consuming and
costly while handling the complexity associated with the heavy traffic volume and travel …

Pavement safety is a significant part of transportation safety. In order to realize pavement
inspection, many existing approaches have been proposed to detect and segment long-thin …

This paper focuses on the enhancement of low-light UAV images. There are some
differences between low-light UAV images and general low-light images. Specifically, low …

道路是地理資訊系統中經常使用的資料項目之一, 過去已有需多研究著重於從航遙測影像中萃取
出道路的空間位置, 然而許多與道路相關的屬性資料, 如道路寬度, 車道數量, 行車方向等 …

For semantic segmentation of remote sensing images (RSI), trade-off between
representation power and location accuracy is quite important. How to get the trade-off …

Road detection and segmentation is an important aspect in navigation system and is widely
used to detect new roads and patterns in the region. These system has the main objective to …