SVM-BTS Based Trajectory Identification and Prediction Method for Civil Rotorcraft UAVs

To address the issue of low predictive accuracy in complex trajectory forecasting for civilian rotorcraft unmanned aerial vehicles (UAVs), this paper presents a method that utilizes the SVM-BTS technique for recognizing and predicting these intricate trajectories. Initially, the Support Vector Machi...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Qingchun Jiao, Lin Bao, Huihui Bai, Huaijie Niu, Chao Han
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Trajectory classification binary tree SVM motion state identification joint prediction
Online Access:	https://ieeexplore.ieee.org/document/10339308/