IoT-based Data Acquisition Unit for aircraft and road vehicle

Andel, Jan; Šimák, Vojtech; Škultéty, Filip; Nemec, Dušan

doi:10.1016/j.trpro.2021.07.066

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…Future work falls into the following two steps. In the first step, the goal will be to improve the efficiency of the SLAM algorithm using the tool described in [24]. Using this tool, we can obtain data from IMU and GPS and use them to improve the used SLAM algorithm.…”

Section: Discussionmentioning

confidence: 99%

The New Method of Active SLAM for Mapping Using LiDAR

et al. 2022

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In this article, we propose a new approach to addressing the issue of active SLAM. In this design, we used the already functional SLAM algorithm, which we modified for our case. Matlab was used as the main software tool. All proposed methods were experimentally verified on a mobile robotic system. We used LiDAR as the primary sensor. After mapping the environment, we created a grid map. The grid map may be used for the navigation of the mobile robotic system, but the navigation and control of the mobile robotic system are not involved in this article. The result of the whole process is an autonomous mapping of the environment.

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Section: Discussionmentioning

confidence: 99%

The New Method of Active SLAM for Mapping Using LiDAR

et al. 2022

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“…The research (Kiran et al ( 2022)) [32] suggested ILS with IoT design offers better accuracy for both horizontal and vertical airplane landings when compared to the current GPS-based system. This paper (Andel et al ( 2021)) [33] described the creation of a data acquisition unit (DAU). Although it is primarily intended for small airplanes, the device also allows data collection from vehicles on the road (equipped with a Bluetooth module to measure the engine and vehicle data from the onboard diagnostics interface).…”

Section: Literature Surveymentioning

confidence: 99%

Design of Aircraft Intelligent Cockpit Auxiliary System based on Big Data and a Single-Chip Microcomputer

Hong

Sun

2023

Preprint

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In general, the cockpit is a part of the aircraft which provides proper visibility to both pilots and co-pilots who manage the aircraft. Nowadays, the production of modern aircraft is increasing day by day for effective and safe operation. On the other hand, the automation system and improper design of the cockpit in aircraft cause various incidents when mishandled or due to uncertain weather conditions and it needs to be rectified. Therefore, this paper proposes an aircraft intelligent cockpit auxiliary system based on a single-chip microcontroller. The single-chip computer control system used in this paper is a double STC89C52RC single-chip microcomputer. The STC89C52RC controller is integrated with the cockpit auxiliary system which makes the aircraft fly fast with the propaganda and automatic tracing function thereby ignoring the obstacles. The proposed aircraft cockpit design integrated with STC 89C52RC microcontroller comprises a temperature sensor, pressure sensor, and speed sensor to determine the climatic conditions. In addition to this, a global system for mobile communications (GSM) and a global positioning system (GPS) are also provided to identify the location of an aircraft cockpit and monitor wireless radiation using a short message service (SMS). Finally, the experimental analysis is determining the various parameters to evaluate the efficiency of the proposed aircraft cockpit design.

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“…The architecture of the proposed DAU is shown in Figure 1. The design was based on [4] and [5]. The DAU consists of different modules, including a power supply module, a data acquisition module, a data processing module, a communication module, and a control module.…”

Section: Architecture Of the Proposed Daumentioning

confidence: 99%

Data acquisition unit for road vehicle or aircraft

Šimák¹

2023

Transp. commun.

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Data acquisition is a critical aspect of modern vehicle and aircraft design, as it provides engineers and researchers with essential information on the performance and behaviour of these vehicles in various operating conditions. In this paper, we present a data acquisition unit (DAU) for road vehicle or aircraft that utilizes various sensors, including GNSS, INS, RPM measurement, barometric altimeter, and ESP32 microcontroller. The DAU consists of multiple sensors, including a GNSS receiver to determine the vehicle's position, speed, and heading. An inertial navigation system (INS) is used to measure the vehicle's acceleration and angular rate. RPM sensors are used to measure engine speed, and a barometric altimeter is used to measure the altitude of the vehicle. An ESP32 microcontroller is used to acquire, process, and store the data from these sensors. In the end the design and utilisation of DAU was success gaining data for research in field of road and air transport.

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IoT-based Data Acquisition Unit for aircraft and road vehicle

Cited by 8 publications

References 9 publications

The New Method of Active SLAM for Mapping Using LiDAR

The New Method of Active SLAM for Mapping Using LiDAR

Design of Aircraft Intelligent Cockpit Auxiliary System based on Big Data and a Single-Chip Microcomputer

Data acquisition unit for road vehicle or aircraft

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