10 citations · 15 across the 5 of their papers we have counts for
6 papers
Trajectory Prediction for Autonomous Driving in Road Construction Zones Using Human-in-the-Loop Driving Data
Shuo Zhang, Aman Sunesh, Semiha Ergan +1
Ego-trajectory prediction in urban roadway work zones remains an underexplored topic in autonomous-driving research, with limited dedicated data and systematic evaluation. Roadway…
From Cues to Horizons: Dynamic Risk Horizon Profiling for Trajectory Prediction
Xinyi Ning, Zilin Bian, Dachuan Zuo +2
Accurate and reliable vehicle trajectory prediction is essential for safe autonomous driving. Recent studies have incorporated safety risk into trajectory prediction to quantify da…
STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving
Xinyi Ning, Zilin Bian, Dachuan Zuo +1
Accurate vehicle trajectory prediction is essential for ensuring safety and efficiency in fully autonomous driving systems. While existing methods primarily focus on modeling obser…
Zero Latency for Emergencies: A Machine Learning based Approach to Quantify Impact of Construction Projects on Emergency Response in Urban Settings
Zhengbo Zou, Semiha Ergan
Continuous construction and rehabilitation in urban settings have unavoidable impacts on arrival times of first responders to emergency locations. Current research efforts on emerg…
A Framework towards Quantifying Human Restorativeness in Virtual Built Environments
Zhengbo Zou, Semiha Ergan
The impact of built environment on the human restorativeness has long been argued; however, the interrelations between neuroscience and the built environment, and the degree to whi…
Leveraging Data Driven Approaches to Quantify the Impact of Construction Projects on Urban Quality of Life
Zhengbo Zou, Semiha Ergan
According to the World Bank, more than half of the world's population now lives in cities, creating burdens on the degraded city infrastructures and driving up the demand for new o…