Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images
Author:
Affiliation:
1. The University of Tokyo,Graduate School of Frontier Science,Tokyo,Japan
2. The University of Tokyo,Center for Spatial Information Science,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386733.pdf?arnumber=10386733
Reference31 articles.
1. Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review
2. Scribble-Based Weakly Supervised Deep Learning for Road Surface Extraction From Remote Sensing Images
3. Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based Segmentation and Tracing
4. Developing a near real-time road surface anomaly detection approach for road surface monitoring
5. A Comprehensive Implementation of Road Surface Classification for Vehicle Driving Assistance: Dataset, Models, and Deployment
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