Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management
Author:
Affiliation:
1. The University of Tokyo,Center for Spatial Information Science,Tokyo,Japan
2. Urban X Technologies,Shibuya-ku,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421927.pdf?arnumber=10421927
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1. RadarSLAM: A robust simultaneous localization and mapping system for all weather conditions
2. A data mapping method for roadside LiDAR sensors
3. Road in Japan;Ministry of Land, Infrastructure, Transport and Tourism,2021
4. Crowdsensing-based Road Damage Detection Challenge (CRDDC’2022)
5. Deep learning-based road damage detection and classification for multiple countries
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