Deepdualmapper: A gated fusion network for automatic map extraction using aerial images and trajectories

• Main Authors: WU, Hao, ZHANG, Hanyuan, ZHANG, Xinyu, SUN, Weiwei, ZHENG, Baihua, JIANG, Yuning
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Aerial images; Coarse to fine; Fusion modules; GPS trajectories; Information flows; Information loss; Trajectory data; Urban computing; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5146; https://ink.library.smu.edu.sg/context/sis_research/article/6149/viewcontent/DeepDualMapper__A_Gated_Fusion_Network_for_Automatic_Map_Extraction_using_Aerial_Images_and_Trajectories.pdf
• Institution: Singapore Management University

Automatic map extraction is of great importance to urban computing and location-based services. Aerial image and GPS trajectory data refer to two different data sources that could be leveraged to generate the map, although they carry different types of information. Most previous works on data fusion...