Choi, Wansik (Pusan National University), Ahn, Changsun (Pusan National University)

Vehicle Trajectory Prediction with Integrating a Physics Based Method and a Data-Based Method

Scheduled for presentation during the Regular Session "Systems, Control, and Estimation" (FB1), Friday, November 29, 2019, 13:15−15:30, WZ Building Room WZ416

2019 Australian & New Zealand Control Conference (ANZCC), November 27-29, 2019, Auckland, New Zealand

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

The physics and data-based methods are used to predict the trajectory of vehicles. To improve prediction performance, we suggest data-based methods using a deep learning model and a simple integration method. The integration method is the weighted sum, and the weights are extracted from the root mean square error of two methods. It shows enhanced results by taking the strength of both methods. The root mean square error of 0 to 3 seconds is less than 3 meter, and 3 to 6 seconds is less than 6 meter.