Papers
1
Total Citations
49
H-Index
1
About
Hao Xue is a leading researcher in computer vision and human behavior analysis, with a primary focus on pedestrian trajectory prediction and autonomous systems. His most cited work, "Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification" (2017), introduced a novel approach that leverages bidirectional Long Short-Term Memory networks to anticipate pedestrian movements by considering both past motion and intended destinations—a key insight often overlooked in prior models. This paper has garnered 49 citations and has influenced the development of safer driverless vehicles, social robots, and intelligent tracking systems. Xue’s contributions extend to space planning and interactive robotics, where his models enhance the ability of machines to navigate crowded environments. His research is widely recognized for bridging the gap between short-term motion dynamics and long-term behavioral goals, making his work essential reading for students and engineers working on autonomous navigation and human-robot interaction.
Research Focus
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Top Papers
- 1