181 citations · 287 across the 11 of their papers we have counts for
5 papers · 1 filter
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
Zhixiong Jin, Jiwon Kim, Hwasoo Yeo +1
In many spatial trajectory-based applications, it is necessary to map raw trajectory data points onto road networks in digital maps, which is commonly referred to as a map-matching…
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
Byeongjoon Noh, Hansaem Park, Hwasoo Yeo
Traffic accidents are a threat to human lives, particularly pedestrians causing premature deaths. Therefore, it is necessary to devise systems to prevent accidents in advance and r…
Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
Byeongjoon Noh, Dongho Ka, Wonjun Noh +1
Pedestrians are exposed to risk of death or serious injuries on roads, especially unsignalized crosswalks, for a variety of reasons. To date, an extensive variety of studies have r…
Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City
Byeongjoon Noh, Dongho Ka, David Lee +1
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. In par…
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure
Byeongjoon Noh, Hwasoo Yeo
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. In…