Essays about: "indoor localisation"
Showing result 1 - 5 of 14 essays containing the words indoor localisation.
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1. Map generation using a smartphone’s built in localisation and mapping algorithms
University essay from Lunds universitet/Matematik LTHAbstract : Localisation and mapping algorithms for smartphones have in recent years seen a renewed interest due to their technological advancements. Using these systems to generate an indoor blueprint where none is available or incomplete is useful in tracking applications. READ MORE
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2. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE
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3. Investigation of Increased Mapping Quality Generated by a Neural Network for Camera-LiDAR Sensor Fusion
University essay from KTH/MekatronikAbstract : This study’s aim was to investigate the mapping part of Simultaneous Localisation And Mapping (SLAM) in indoor environments containing error sources relevant to two types of sensors. The sensors used were an Intel Realsense depth camera and an RPlidar Light Detection AndRanging (LiDAR). READ MORE
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4. Does implementation of BLE technology affect synchronous communication in an office space?
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This study examines communication in a co-located context, emphasising on the role of location-awareness through the introduction of Bluetooth Low Energy (BLE) technology in an office environment. An investigation into the relationship between location-awareness and face-to-face communication is conducted at the offices of Sigma ITC. READ MORE
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5. IR-Based Indoor Localisation and Positioning System
University essay from Linköpings universitet/Fysik och elektroteknik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis presents a prototype beacon-based indoor positioning system using IR-based triangulation together with various inertial sensors mounted onto the receiver. By applying a Kalman filter, the mobile receivers can estimate their position by fusing the data received from the two independent measurement systems. READ MORE