Essays about: "additional sensors"
Showing result 16 - 20 of 137 essays containing the words additional sensors.
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16. Light-activated gas sensing with copper oxide micro- and nanostructures
University essay from KTH/FysikAbstract : Metal oxide semiconductor (MOS) gas sensors have proven to be useful in many applications, ranging from detection of hazardous gases to monitoring of air quality. The demand for power efficient and high performance gas sensors has seen an increase in situations facing contemporary society. READ MORE
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17. EEG Signal Analysis in the Frequency Domain : An Examination of Abnormalities During the Gait Cycle
University essay from KTH/Medicinteknik och hälsosystemAbstract : Many people experience discomfort during movement when using a knee prosthesis. As a result, a study is being conducted to see if biomedical models can be used to produce an optimal prosthetic socket to reduce discomfort. READ MORE
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18. Radar Based Solutions for Crushing andScreening Applications
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : This project was carried out for a Company in the mining and construction business, and focused on the development of a radar based material monitoring solution for conveyor belts. A minor prestudy showed that there are possible customer values related to material monitoring solutions for equipment relevant for the Company, and that such solutions using radar possibly can fulfil the application requirements. READ MORE
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19. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE
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20. Deep Reinforcement Learning for Mapless Mobile Robot Navigation
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Navigation is the fundamental capability of mobile robots which allows them to move fromone point to another without any human interference. The autonomous operation of theserobots is depended on reliable, robust, and intelligent navigation system. READ MORE