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Eduard Angelats, Alban Gorreja, Pedro F. Espín-López, M. Eulàlia Parés, Eva Savina Malinverni and Roberto Pierdicca
The seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transitio...
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Tarafder Elmi Tabassum, Zhengjia Xu, Ivan Petrunin and Zeeshan A. Rana
To enhance system reliability and mitigate the vulnerabilities of the Global Navigation Satellite Systems (GNSS), it is common to fuse the Inertial Measurement Unit (IMU) and visual sensors with the GNSS receiver in the navigation system design, effectiv...
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Anand George, Niko Koivumäki, Teemu Hakala, Juha Suomalainen and Eija Honkavaara
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant positioning systems are needed for reliable operation. The objective of this study...
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Yibo Zhang, Hao Sun, Fanhang Zhang, Baohua Zhang, Shutian Tao, Haitao Li, Kaijie Qi, Shaoling Zhang, Seishi Ninomiya and Yue Mu
To realize autonomous navigation and intelligent management in orchards, vehicles require real-time positioning and globally consistent mapping of surroundings with sufficient information. However, the unstructured and unstable characteristics of orchard...
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Eduardo Gallo and Antonio Barrientos
This article proposes a visual inertial navigation algorithm intended to diminish the horizontal position drift experienced by autonomous fixed-wing UAVs (unmanned air vehicles) in the absence of GNSS (Global Navigation Satellite System) signals. In addi...
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Ming-Ru Xie, Shing-Yun Jung and Kuan-Wen Chen
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. ...
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Bo Gao, Baowang Lian and Chengkai Tang
Traditional Micro-Aerial Vehicles (MAVs) are usually equipped with a low-cost Inertial Measurement Unit (IMU) and monocular cameras, how to achieve high precision and high reliability navigation under the framework of low computational complexity is the ...
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Tong Zhang, Chunjiang Liu, Jiaqi Li, Minghui Pang and Mingang Wang
In view of traditional point-line feature visual inertial simultaneous localization and mapping (SLAM) system, which has weak performance in accuracy so that it cannot be processed in real time under the condition of weak indoor texture and light and sha...
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Ali Barzegar, Oualid Doukhi and Deok-Jin Lee
In this study, the hardware and software design and implementation of an autonomous electric vehicle are addressed. We aimed to develop an autonomous electric vehicle for path tracking. Control and navigation algorithms are developed and implemented. The...
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Zun Niu, Fugui Guo, Qiangqiang Shuai, Guangchen Li and Bocheng Zhu
The real-time kinematic positioning technique (RTK) and visual?inertial odometry (VIO) are both promising positioning technologies. However, RTK degrades in GNSS-hostile areas, where global navigation satellite system (GNSS) signals are reflected and blo...
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