Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18310
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dc.contributor.authorHiremath, Hrishikeshen_US
dc.date.accessioned2026-05-14T12:28:23Z-
dc.date.available2026-05-14T12:28:23Z-
dc.date.issued2025-
dc.identifier.citationGunagi, S. A., Hiremath, H., Samahith, Majumder, R., & Sundaram, S. (2025). Intelligent Multi-Operational RADAR (IMOR)-Based Soft Landing of UAVs on Unknown Terrain. 2025 5th International Conference on Robotics, Automation, and Artificial Intelligence, RAAI 2025, 787–796. https://doi.org/10.1109/RAAI67517.2025.11422999en_US
dc.identifier.isbn979-833155873-4-
dc.identifier.otherEID(2-s2.0-105035985255)-
dc.identifier.urihttps://dx.doi.org/10.1109/RAAI67517.2025.11422999-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18310-
dc.description.abstractFor the safe and efficient real-time operation of micro and small-class Uncrewed Aerial Vehicles (UAVs), functionalities such as precise altitude measurement, flat terrain detection for emergency landings, and soft landing capabilities are essential. This paper introduces a lightweight RADAR powered sensing platform, Intelligent Multi-Operational RADAR (IMOR) designed for UAV applications. With dynamically configurable chirp settings, IMOR independently supports both high-altitude measurement and flat terrain detection, while also enabling soft landing on identified flat surfaces. Experimental results demonstrate that IMOR outperforms some existing sensors in terms of size, weight, power consumption, versatility, and computational efficiency, thereby enhancing the safety and reliability of micro and small-class UAV operations. © 2025 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.source2025 5th International Conference on Robotics, Automation, and Artificial Intelligence, RAAI 2025en_US
dc.titleIntelligent Multi-Operational RADAR (IMOR)-Based Soft Landing of UAVs on Unknown Terrainen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Mechanical Engineering

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