research
∙
01/15/2022
A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data
The mortality rate for pedestrians using wheelchairs was 36 overall popu...
share
research
∙
08/01/2021
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
In many trajectory-based applications, it is necessary to map raw GPS tr...
research
∙
07/26/2021
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
Traffic accidents are a threat to human lives, particularly pedestrians ...
research
∙
07/08/2021
Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
Pedestrians are exposed to risk of death or serious injuries on roads, e...
research
∙
05/06/2021
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 acc...
research
∙
05/06/2021
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 cros...
research
∙
09/23/2020
A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation
Minimizing traffic accidents between vehicles and pedestrians is one of ...
research
∙
07/28/2020
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning
Recently, there are an abundant amount of urban vehicle trajectory data ...
research
∙
12/18/2018