University of Twente Student Theses
Analyzing the energy-consumption of Robust Neural Inertial Navigation
Frohboes, Kevin (2024) Analyzing the energy-consumption of Robust Neural Inertial Navigation.
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| Abstract: | From fitness trackers to Google maps, positioning is important in a variety of contexts. Many technologies are used for this such as GPS, WiFi or camera-based tracking. GPS and WiFi are however power hungry and all 3 depend on environmental factors such as lighting and signal availability. Inertial measurements provide a universally applicable alternative to this, their biggest drawback however is a lack of accuracy. A solution for improved accuracy is introduced in the RoNIN-paper. This paper aims to evaluate variations of the RoNIN-architecture for energy efficiency. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/101403 |
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