SSS: Towards Autonomous Drone Delivery to Your Door Over House-Aware Semantics
Pages 33 - 39
Abstract
In this work, we present our attempt to tackle the last-hundred-feet problem for autonomous drone delivery. We take a computer-vision-based approach to progressively landing towards a convenient and safe drop-off point at all times (here, at the front/garage door). Specifically, we develop structural semantic segmentation (SSS), a new technique that leverages a single-family house structure to streamline and enhance semantic segmentation in the drop-to-door problem context. We implement SSS into an Android app; Our preliminary evaluation in a residential zone shows SSS is promising to make autonomous drop-to-door in real-time, with no need to wait for slow visual processing. Video demo is available at Youtube [5]. App is released at Github [6].
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Index Terms
- SSS: Towards Autonomous Drone Delivery to Your Door Over House-Aware Semantics
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February 2024
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Published: 28 February 2024
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