Design and Development of an All-Terrain Vehicle with Magnetic Heading for Enhanced Precision
DOI:
https://doi.org/10.18486/ijcsnt/9.2.117Keywords:
All-Terrain Vehicle (ATV), Magnetic Heading, Precision Navigation, Challenging Terrain, Navigation Technology, Control Systems, Sensor Integration, GPS-denied Environments, Robust Chassis, Suspension System, Propulsion System, Field Operations, Search and Rescue, Exploration, Vehicle Design, Enhanced Precision, Magnetic Sensors, Terrain Adaptability, Navigation Accuracy, Validation TestingAbstract
This research paper presents the design and development of an innovative All-Terrain Vehicle (ATV) equipped with magnetic heading technology to achieve enhanced precision in navigation. The vehicle is tailored for operation in challenging terrains where traditional navigation systems may face limitations. The integration of magnetic heading technology allows for improved accuracy in determining the vehicle's direction, particularly in environments where GPS signals are unreliable or unavailable.The paper discusses the conceptualization and design phases, highlighting the incorporation of magnetic sensors and advanced control systems to enable precise heading measurements. Additionally, the implementation of a robust and adaptable chassis, suspension, and propulsion system is explored to ensure the ATV's capability to traverse diverse terrains effectively.Through systematic testing and validation, the paper demonstrates the effectiveness of the proposed ATV in achieving enhanced precision during navigation. The magnetic heading technology is evaluated in various challenging scenarios, showcasing its potential to overcome common limitations associated with traditional navigation methods.The outcomes of this research contribute to the advancement of all-terrain vehicle technology, particularly in contexts where precise navigation is critical. The proposed design and integration of magnetic heading technology offer a promising solution for applications such as agricultural field operations, search and rescue missions, and exploration in remote or GPS-denied areas.
References
Grewal, M.S.; Weill, L.R.; Andrews, A.P. Global Positioning Systems, Inertial Navigation, and Integration; John Wiley & Sons: Hoboken, NJ, USA, 2007. DOI: https://doi.org/10.1002/0470099720
Zhang, G.; Hsu, L.T. Intelligent GNSS/INS integrated navigation system for a commercial UAV flight control system. Aerosp. Sci. Technol. 2018, 80, 368–380. [CrossRef] DOI: https://doi.org/10.1016/j.ast.2018.07.026
Courbon, J.; Mezouar, Y.; Gu´enard, N.; Martinet, P. Vision-based navigation of unmanned aerial vehicles. Control Eng. Pract. 2010, 18, 789–799. [CrossRef] DOI: https://doi.org/10.1016/j.conengprac.2010.03.004
Belmonte, L.M.; Morales, R.; Fern´andez-Caballero, A. Computer Vision in Autonomous Unmanned Aerial Vehicles—A Systematic Mapping Study. Appl. Sci. 2019, 9, 3196. [CrossRef] DOI: https://doi.org/10.3390/app9153196
Konovalenko, I.; Kuznetsova, E.; Miller, A.; Miller, B.; Popov, A.; Shepelev, D.; Stepanyan, K. New approaches to the integration of navigation systems for autonomous unmanned vehicles (UAV). Sensors 2018, 18, 3010. [CrossRef] DOI: https://doi.org/10.3390/s18093010
Popp, M.; Scholz, G.; Prophet, S.; Trommer, G. A laser and image based navigation and guidance system for autonomous outdoor-indoor transition flights of MAVs. In Proceedings of the 2015 DGON Inertial Sensors and Systems Symposium (ISS), Karlsruhe, Germany, 22–23 September 2015; IEEE: Hoboken, NJ, USA, 2015; pp. 1–18. DOI: https://doi.org/10.1109/InertialSensors.2015.7314267
Thoma, J.; Paudel, D.P.; Chhatkuli, A.; Probst, T.; Gool, L.V. Mapping, localization and path planning for image-based navigation using visual features and map. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 15–20 June 2019; pp. 7383–7391. DOI: https://doi.org/10.1109/CVPR.2019.00756
Melo, J.; Matos, A. Survey on advances on terrain based navigation for autonomous underwater vehicles. Ocean Eng. 2017, 139, 250–264. [CrossRef] DOI: https://doi.org/10.1016/j.oceaneng.2017.04.047
Jeon, H.C.; Park, W.J.; Park, C.G. Grid design for efficient and accurate point mass filter-based terrain referenced navigation. IEEE Sensors J. 2017, 18, 1731–1738. [CrossRef] DOI: https://doi.org/10.1109/JSEN.2017.2779463
Zelenka, R. Integration of radar altimeter, precision navigation, and digital terrain data for low-altitude flight. In Proceedings of the Guidance, Navigation and Control Conference, Hilton Head Island, SC, USA, 10–12 August 1992; p. 4420. DOI: https://doi.org/10.2514/6.1992-4420
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Bhaskar Ranjan, Sumit Kumar Singh, Nagmani Kumar, Vivek Kumar, Ashish Kumar, Md. Irshadul Haque
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
