Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs
Author:
Affiliation:
1. ETH Zürich,D-ITET,Zürich,Switzerland,8092
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10164122/10164290/10164476.pdf?arnumber=10164476
Reference20 articles.
1. Architecture, Classification, and Applications of Contemporary Unmanned Aerial Vehicles
2. Real-Time Semantic Plane Reconstruction on a Monocular Drone Using Sparse Fusion
3. Learning to seek: Autonomous source seeking with deep reinforcement learning onboard a nano drone microcontroller;duisterhof;arXiv preprint arXiv 1909 11324,2019
4. Toward battery-free flight: Duty cycled recharging of small drones
5. Visual model‐predictive localization for computationally efficient autonomous racing of a 72‐g drone
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1. Complete Coverage of Mobile Targets in Backscatter-Aided IoT Networks;IEEE Internet of Things Journal;2024-06-15
2. Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs;IEEE Internet of Things Journal;2024-06-15
3. NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots;IEEE Internet of Things Journal;2023
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