10 citations · 10 across the 3 of their papers we have counts for
3 papers
TrajPRed: Trajectory Prediction with Region-based Relation Learning
Chen Zhou, Ghassan AlRegib, Armin Parchami +1
Forecasting human trajectories in traffic scenes is critical for safety within mixed or fully autonomous systems. Human future trajectories are driven by two major stimuli, social…
FOCAL: A Cost-Aware Video Dataset for Active Learning
Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert +6
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning…
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
Chen Zhou, Ghassan AlRegib, Armin Parchami +1
In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians. Pedestrian intent, defined as future act…