Type of Publication

Others

Date:

2 /

2023

Status

Published

DOI:

10.1109/LSENS.2023.3238468

A Novel Pet Trajectory Prediction Method for Intelligent Plant Cultivation Robot

Featured in:

IEEE Sensors Letters

Authors:

Zihan Jiang, Bo Jin and Yichen Song

Abstract

Intelligent plant cultivation robots will have certain working obstacles due to various moving objects, such as pets. This letter studies how to predict the trajectory of pets to avoid collisions. In previous intelligent plant cultivation robot systems, target-tracking technology was used to track pets and avoid collisions. However, collisions often occur even after tracking the trajectory of the pet because the trajectory of the pet’s movement is difficult to determine. Therefore, the Informer algorithm is used to predict the trajectory of pets in this letter. It is presented that collisions can be avoided based on the predicted trajectory. Experimental results on the data set show that this algorithm has better accuracy than most common algorithms, so trajectory prediction based on this algorithm can make the robot avoid obstacles better. Finally, by verifying two data sets, the public data set and the self-made data set, it is determined that the performance of the proposed method is optimized by 3%–50% compared with other methods.

Citation
Zihan Jiang, Bo Jin and Yichen Song (2023). A Novel Pet Trajectory Prediction Method for Intelligent Plant Cultivation Robot. IEEE Sensors Letters, 7(2), 1-4. DOI: 10.1109/LSENS.2023.3238468

Related Content

Post-Doc Researcher
No tagged content to show
No tagged content to show
No tagged content to show

RECENT PUBLICATIONS

Geometric implicit neural representations for signed distance functions

Authors: Luiz Schirmer, Tiago Novello, Vinícius da Silva, Guilherme Schardong, Daniel Perazzo, Hélio Lopes, Nuno Gonçalves, Luiz Velho
Featured in: Special Section on SIBGRAPI 2023 Tutorials

Towards Secure Biometric Solutions: Enhancing Facial Recognition while Protecting User Data

Authors: Jose Silva, Aniana Cruz, Bruno Sousa and Nuno Gonçalves
Featured in: 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2025

StylePuncher: encoding a hidden QR code into images

Authors: Farhad Shadmand, Luiz Schirmer and Nuno Gonçalves
Featured in: 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2025

suggested news

Best Paper Award @ICPRAM 2025
Nuno Gonçalves serves as jury member for PhD...
ACHILLES project launches official Website and Newsletter

RECENT PROJECTS

FACING2 – Face Image Understanding
VISUAL-ID – Unique Visual Identities in Graphics, Images and Faces
UniqueMark

Institute of Systems and Robotics Department of Electrical and Computers Engineering University of Coimbra