We present EWareNet, a novel intent and affect-aware social robot navigation algorithm
among pedestrians. Our approach predicts the trajectory-based pedestrian intent from gait …

Vehicle trajectory prediction is a vital component for autonomous vehicles environment
perception system, which remains a challenging problem due to the high density, frequent …

The problems of video-based pedestrian detection and path prediction have received
considerable attention in robotics, traffic management, intelligent vehicles, video …

Pedestrian trajectory prediction task can increase artificial intelligence's understanding of
human behavior perception and intention, and is widely used in traffic management, service …

We present a novel approach to automatically identify driver behaviors from vehicle
trajectories and use them for safe navigation of autonomous vehicles. We propose a novel …

Pedestrian trajectory prediction is a key technology in Intelligent Driving that can provide
valuable guidance for subsequent Intelligent Driving path decisions. This technology poses …

Robot motion planning is an important problem for real-world robot applications. Recently,
the separation of workspaces between humans and robots has been gradually fading, and …

In recent years, the prediction of pedestrian paths using computer vision techniques has
become an increasingly attractive topic of research. The use of deep learning techniques …

I. QUALITY OF CITATIONS These linked papers (Part I and II) review over 450 papers from
high quality journals and conferences such as CVPR, ICRA, PAMI, IROS, ITSC, ECCV, IV. It …

First and foremost, I would like to thank my advisor, Professor Dawn Tilbury, for her constant
guidance and encouragement. She has been extremely helpful in developing my technical …