Volume: 2 Issue: 1
Year: 2025, Page: 143-147, Doi: https://doi.org/10.70968/ijeaca.v2i1.E1011
Received: Feb. 18, 2025 Accepted: July 10, 2025 Published: July 18, 2025
Automated Navigation Technology is a game-changer, disrupting autonomous systems and processes across transportation, logistics, and robotics. At the heart of automated navigation technology are advanced systems made up of sophisticated components such as GPS for precise geographic location, IR sensors for mapping of the environment and obstacle detection, and computer vision that detects and recognizes the environment visually in real-time. The key functions identified in automated navigation are facilitated by machine learning and artificial intelligence algorithmic programs for real-time decision making, adapting to the environment, and path-planning, all in real-time. With this combination of technology, autonomous vehicles, drones, and robots can traverse complex terrains, avoid obstacles or hazards, and ensure the safety of passengers or others with minimal human intervention. This report looked at all components and their functionality above, and their interplay, and is useful for understanding automated navigation architectures. This report also identified and discussed areas of importance, such as sensor fusion, real-time data processing, and system robustness in non-structured environments. Applications in automated cars, unmanned aerial vehicles, and more complex industrial automation were reviewed with benefits associated with increased efficiencies, cost-constraining methods, and safety. The overarching conclusion from our review is that while we have demonstrated where you can go with this technology, it will require several advancements in machine learning, sensors, and safety protocols before it becomes mainstream, reliable, and capable of operating in unstructured environments
Keywords: Automated Navigation Technology
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© 2025 Mahale et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Mahale R, Samiksha , Tiwari S, Watve S. (2025). Automated Navigation Technology. International Journal of Electronics and Computer Applications. 2(1):143-147. https://doi.org/10.70968/ijeaca.v2i1.E1011