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Found 5 papers, 0 papers with code
Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing
If information related to the exterior of the building can be extracted or identified from a 3D map, it is expected that the utility of the information will be more valuable as the national architectural administration information can then potentially be extended to include such information regarding the building exteriors to the level of BIM(Building Information Modeling).
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
In particular, this study focuses on the latter by introducing a new analytical framework for a crosswalk safety assessment with behaviors of vehicle/pedestrian and environmental features.
Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
In this paper, we propose an automated and simpler system for effectively extracting object behavioral features from video sensors deployed on the road.
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure
Road traffic accidents, especially vehicle pedestrian collisions in crosswalk, globally pose a severe threat to human lives and have become a leading cause of premature deaths.
Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City
Despite recent advances in vehicle safety technologies, road traffic accidents still pose a severe threat to human lives and have become a leading cause of premature deaths.
