Three-Dimensional Drone Exploration with Saliency Prediction in Real Unknown Environments
In this paper, we propose a three-dimensional autonomous drone exploration system (ADES) with a lightweight and low-latency saliency prediction model to explore unknown environments. Several studies have applied saliency prediction in drone exploration. However, these studies are not sufficiently ma...
Main Authors: | Ming-Ru Xie, Shing-Yun Jung, Kuan-Wen Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/10/5/488 |
Similar Items
-
Developing a Flying Explorer for Autonomous Digital Modelling in Wild Unknowns
by: Naizhong Zhang, et al.
Published: (2024-02-01) -
Radiological Identification of Near-Surface Mineralogical Deposits Using Low-Altitude Unmanned Aerial Vehicle
by: Peter G. Martin, et al.
Published: (2020-10-01) -
The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo—A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data
by: Sandra Jakob, et al.
Published: (2017-01-01) -
Drone Magnetometry in Mining Research. An Application in the Study of Triassic Cu–Co–Ni Mineralizations in the Estancias Mountain Range, Almería (Spain)
by: Daniel Porras, et al.
Published: (2021-12-01) -
Continuous, long-term crawling behavior characterized by a robotic transport system
by: James Yu, et al.
Published: (2023-08-01)