
Autonomous Drone Mapping: From Flight Plan to Useful Orthomosaic
Learn how an autonomous drone mapping workflow turns planned image capture into a georeferenced orthomosaic, with practical quality and safety checks.
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Public engineering methods from SUAS IITM aircraft development at IIT Madras. Explore autonomous UAV mapping, foldable airframes, flight testing, and aerial computer vision, with each guide connected to Falcon 2026 UAV and the SUAS competition.

Learn how an autonomous drone mapping workflow turns planned image capture into a georeferenced orthomosaic, with practical quality and safety checks.
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A practical guide to foldable multirotor airframe design, covering requirements, load paths, locking joints, packaging, FEA, and physical validation.
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A progressive autonomous UAV flight-testing method, from requirements and simulation to restrained checks, field trials, log review, and regression evidence.
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How a UAV computer vision pipeline connects aerial image capture, object detection, classification, geolocation, filtering, and field validation.
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These are public educational summaries based on SUAS IITM design and test work. Raw logs, precise coordinates, detailed control settings, unresolved measurements, and design information that would create an unfair competitive disclosure are intentionally excluded.