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08/12/2023
Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos
To ensure the safe and efficient navigation of autonomous vehicles and a...
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09/16/2022
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos
Detecting dangerous traffic agents in videos captured by vehicle-mounted...
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09/06/2022
A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images
The vast network of bridges in the United States raises a high requireme...
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09/05/2022
A Deep Neural Network for Multiclass Bridge Element Parsing in Inspection Image Analysis
Aerial robots such as drones have been leveraged to perform bridge inspe...
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09/10/2021
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
Bridge inspection is an important step in preserving and rehabilitating ...
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09/06/2021
Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks
Reducing traffic fatalities and serious injuries is a top priority of th...
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09/06/2021
A Virtual Reality-based Training and Assessment System for Bridge Inspectors with an Assistant Drone
Over 600,000 bridges in the U.S. must be inspected every two years to id...
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08/03/2021
Who is Better at Anticipating Traffic Crashes, Human or Artificial Intelligence? A Gaze Data-based Exploratory Study
Enhancing roadway safety is a priority of transportation. Hence, Artific...
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07/31/2021
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
Traffic accident anticipation is a vital function of Automated Driving S...
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06/18/2021
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention
To assist human drivers and autonomous vehicles in assessing crash risks...
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06/18/2021