Essays about: "simultaneous localisation and mapping"
Showing result 1 - 5 of 19 essays containing the words simultaneous localisation and mapping.
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1. Robust Aircraft Positioning using Signals of Opportunity with Direction of Arrival
University essay from Linköpings universitet/ReglerteknikAbstract : This thesis considers the problem of using signals of opportunity (SOO) with known direction of arrival (DOA) for aircraft positioning. SOO is a collective name for a wide range of signals not intended for navigation but which can be intercepted by the radar warning system on an aircraft. READ MORE
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2. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. READ MORE
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3. 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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4. AUV SLAM constraint formation using side scan sonar
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous underwater vehicle (AUV) navigation has been a challenging problem for a long time. Navigation is challenging due to the drift present in underwater environments and the lack of precise localisation systems such as GPS. Therefore, the uncertainty of the vehicle’s pose grows with the mission’s duration. READ MORE
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5. 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