Essays about: "probability propagation"
Showing result 6 - 10 of 32 essays containing the words probability propagation.
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6. Localization For AutonomousDriving using Statistical Filtering : A GPS aided navigation approach with EKF and UKF
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A critical requirement for safe autonomous driving is to have an accurate state estimate of thevehicle. One of the most ubiquitous yet reliable ways for this task is through the integrationof the onboard Inertial Navigation System (INS) and the Global Navigation Satellite System(GNSS). READ MORE
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7. Network analysis of delay propagation on Swedish railways
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Travel on railway in Sweden has increased steadily over the past three decades and there are today twice as many passengers travelling by train as there were 30 years ago. The increasing awareness of environmental issues with other methods of transportation is likely to favour railway travel, and so the number of passengers is expected to continue to rise. READ MORE
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8. Enhancing the Decoding of Short LDPC Codes with Stochastic Sequences
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Low-Density Parity-Check (LDPC) codes are one of the most popular codes used in nowadays’ communication due to their high coding efficiency at low decoding complexity. With these characteristics, LDPC codes are suitable for high-speed information transmission systems. READ MORE
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9. Evaluation of methods for quantifying returns within the premium pension
University essay from KTH/Matematisk statistikAbstract : Pensionsmyndigheten's (the Swedish Pensions Agency) current calculation of the internal rate of return for 7.7 million premium pension savers is both time and resource consuming. READ MORE
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10. Network Drone Control using Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this work, a reinforcement learning approach is adopted to control a drone in a cellular network. The goal is to find paths between arbitrary locations such that low radio quality areas, defined with respect to signal-to-interference-plus-noise-ratio, are avoided with the cost of longer flight paths. READ MORE