A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces

Author:

Yin Yifang1,Varadarajan Jagannadan2,Wang Guanfeng2,Wang Xueou1,Sahrawat Dhruva1,Zimmermann Roger1,Ng See-Kiong1

Affiliation:

1. National University of Singapore

2. GrabTaxi Holdings

Publisher

ACM

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook;Information Fusion;2025-01

2. High Precision Map Conflation of Fleet Sourced Traffic Signs;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Multimodal Deep Learning for Robust Road Attribute Detection;ACM Transactions on Spatial Algorithms and Systems;2023-11-20

4. A Highly Efficient and Effective Attribute Learning Framework for Road Graph from Aerial Imagery and GPS;Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data;2023-11-13

5. Exploring The Use of OpenStreetMap Data (OSM) and GPS Traces for Validating Driving Routes and Identifying Prohibited Maneuvers in Direction Services;Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications;2023-11-13

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