Essays about: "Simultaneous location and mapping"
Showing result 6 - 10 of 10 essays containing the words Simultaneous location and mapping.
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6. A Comparison of Motion Priors for EKF-SLAM in Autonomous Race Cars
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Simultaneous Localization and Mapping (SLAM) is one of the fundamental problems to solve for any autonomous vehicle or robot. The SLAM problem is for an agent to incrementally build a map of its surroundings while keeping track of its location within the map, using various sensors. READ MORE
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7. Six DOF tracking system based on smartphones internal sensors for standalone mobile VR
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nowadays mid-range smartphones have enough computational power to run simultaneous location and mapping (SLAM) algorithms that, together with their onboard inertial sensors makes them capable of position and rotation tracking. Based on this, Google and Apple have released their own respective software development kits (SDKs) that allow smartphones to run augmented reality applications using six degrees of freedom tracking. READ MORE
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8. Motor unit localization using high-density surface EMG
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Localization of muscle motor units (MU) using surface electromyography (sEMG) is of interest in areas including neurology, rehabilitation and prosthetic control. The aim of the thesis is to describe a method for MU localization using high-density sEMG (HDsEMG) and verify the method using simultaneous intramuscular EMG (iEMG) recordings. READ MORE
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9. Real-Time Monocular SLAM System Using an Inertial Measurement Unit to Estimate the Metric Scale and Gravity Direction
University essay from Lunds universitet/Matematik LTHAbstract : In this work a simultaneous localisation and mapping system, SLAM, has been constructed which can incorporate inertial measurement unit, IMU, data such as accelerometer and gyroscope data to estimate the metric scale and the relationship to the gravity vector of the SLAM solution. The system can perform accurate pose predictions at 100Hz based on IMU data and previous camera poses. READ MORE
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10. Closing the Loop : Mobile Visual Location Recognition
University essay from Linköpings universitet/Datorseende; Linköpings universitet/Tekniska högskolanAbstract : Visual simultaneous localization and mapping (SLAM) as field has been researched for ten years, but with recent advances in mobile performance visual SLAM is entering the consumer market in a completely new way. A visual SLAM system will however be sensitive to non cautious use that may result in severe motion, occlusion or poor surroundings in terms of visual features that will cause the system to temporarily fail. READ MORE