Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application - Tapa dura

 
9783725831135: Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application
Tapa dura
ISBN 10: 3725831130 ISBN 13: 9783725831135
Editorial: MDPI AG, 2025

Sinopsis

The development of artificial intelligence technology can enhance the capability of autonomous unmanned systems and form intelligent autonomous unmanned systems (iAUSs). In this issue, including 10 papers, intelligent technologies applied to air/ground/underground traffic and so on are discussed. 

In the field of UAV application, here shows a high resolution UAV image traffic sign detection method based on a visual language model, a real-time trajectory smoothing obstacle avoidance method based on virtual force guidance, a vision inertial RGB-D SLAM system based on the encoder integrated uncertainty of ORB triangulation and depth measurement.

In the field of ground traffic intelligent transportation, here shows some methods: an end-to-end synchronous vehicle pedestrian detection algorithm based on improved YOLOv8, a new multi-scale track surface defect detection model (RSDNet), a transmission line defect detection method based on GR-YOLOv8, a fusion algorithm based on double domain transform filtering and contrast transform feature extraction.

In the field of underground roadway robots, the obstacle avoidance trajectory planning method of coal mine drilling, and the anchoring mechanical arm transporting drilling and anchoring materials are studied. A time series prediction method based on optimized variational mode decomposition and SSA-LSTM is proposed.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
MDPI AG
Año de publicación
2025
Idioma
Inglés
ISBN 10 
3725831130
ISBN 13 
9783725831135
Encuadernación
Tapa dura
Número de páginas
188
Editor
Zhao Chunhui, Hao Shuai
Contacto del fabricante
no disponible
Persona responsable
no disponible