Pedestrian GPS Trajectory Prediction Deep Learning Model and Method

• Published in: 韓國컴퓨터情報學會論文誌 Vol. 27; no. 8; pp. 61 - 68
• Main Authors: Yoon, Seung-Won, Lee, Won-Hee, Lee, Kyu-Chul
• Format: Journal Article
• Language: Korean
• Published: 2022

In this paper, we propose a system to predict the GPS trajectory of a pedestrian based on a deep learning model. Pedestrian trajectory prediction is a study that can prevent pedestrian danger and collision situations through notifications, and has an impact on business such as various marketing. In...