Knowledge-Based Approach for the Perception Enhancement of a Vehicle

An autonomous vehicle relies on sensors in order to perceive its surroundings. However, there are multiple causes that would hinder a sensor’s proper functioning, such as bad weather or lighting conditions. Studies have shown that rainfall and fog lead to a reduced visibility, which is one of the main causes of accidents. This work proposes the use of a drone in order to enhance the vehicle’s perception, making use of both embedded sensors and its advantageous 3D positioning. The environment perception and vehicle/Unmanned Aerial Vehicle (UAV) interactions are managed by a knowledge base in the form of an ontology, and logical rules are used in order to detect and infer the environmental context and UAV management. The model was tested and validated in a simulation made on Unity.

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Military Based Automated Guided Vehicle System

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.g1015.0597s20 ◽

2020 ◽

Vol 9 (7S) ◽

pp. 46-49

Keyword(s):

Unmanned Aerial Vehicle ◽

Autonomous Vehicle ◽

Automated Guided Vehicle ◽

Ground Vehicles ◽

Intelligence System ◽

Paper Model ◽

Vehicle System ◽

Military Applications ◽

Aerial Vehicle ◽

Border Surveillance

The interest of this research is to provide a solution to the use of Unmanned Ground Vehicles in military applications. This paper model such an Automated Guided Vehicle (AGV) that can not only be used as load carriers but also as transportation and surveillance vehicles with an ability to communicate, too. From border surveillance to carrying arms & ammunitions for the camps, there are a lot many applications of this AGV. Furthermore, changing the intelligence of the system to fully automated possible applications are explored in this paper. With this intelligence system, vehicles can provide constant updates about its surroundings, and the data shared with peer vehicles will include information on potential and sudden obstacles on the route. Communication of an Unmanned Aerial Vehicle or any other AGV can be achieved. The study concludes that the objective of an autonomous vehicle system in military and other applications can be achieved by this model.

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Mechatronic Design and Optimization Using Knowledge Based Engineering Applied to an Inherently Unstable and Unmanned Aerial Vehicle

IEEE/ASME Transactions on Mechatronics ◽

10.1109/tmech.2015.2441832 ◽

2015 ◽

pp. 1-1 ◽

Cited By ~ 3

Author(s):

Fengnian Tian ◽

Mark Voskuijl

Keyword(s):

Unmanned Aerial Vehicle ◽

Design And Optimization ◽

Mechatronic Design ◽

Knowledge Based ◽

Aerial Vehicle ◽

Knowledge Based Engineering

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Cooperative Navigation between a Ground Vehicle and an Unmanned Aerial Vehicle in GNSS-Challenged Environments

Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016) ◽

10.33012/2016.14623 ◽

2016 ◽

Author(s):

Victor O. Sivaneri ◽

Jason N. Gross

Keyword(s):

Unmanned Aerial Vehicle ◽

Ground Vehicle ◽

Cooperative Navigation ◽

Aerial Vehicle

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Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

Journal of Applied Reliability ◽

10.33162/jar.2020.12.20.4.332 ◽

2020 ◽

Vol 20 (4) ◽

pp. 332-342

Author(s):

Hyung Jun Park ◽

Seong Hee Cho ◽

Kyung-Hwan Jang ◽

Jin-Woon Seol ◽

Byung-Gi Kwon ◽

...

Keyword(s):

Fault Diagnosis ◽

Unmanned Aerial Vehicle ◽

Sensor Data ◽

Planetary Gearbox ◽

Aerial Vehicle

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Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

Light & Engineering ◽

10.33383/2017-061 ◽

2018 ◽

pp. 7-13

Author(s):

Anton M. Mishchenko ◽

Sergei S. Rachkovsky ◽

Vladimir A. Smolin ◽

Igor V . Yakimenko

Keyword(s):

Spatial Structure ◽

Unmanned Aerial Vehicle ◽

Wavelength Range ◽

Spectral Range ◽

Near Ir ◽

Optoelectronic Systems ◽

Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

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