Prediction of pedestrian trajectory in a crowded environment using deep learning

• Main Author: Xiong, Xincheng
• Other Authors: Teoh Eam Khwang
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/77334
• Institution: Nanyang Technological University

Deep learning is the current state-of-the-art technique for most machine learning and data analytics tasks. It has been applied to all aspects of human life. Traditional methods are not suitable for solving pedestrian trajectory prediction due to the diversity of its scenes and the uncertainty of th...