Search for dissertations about: "Daniel Axehill"
Showing result 6 - 10 of 20 swedish dissertations containing the words Daniel Axehill.
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6. On Motion Planning Using Numerical Optimal Control
Abstract : During the last decades, motion planning for autonomous systems has become an important area of research. The high interest is not the least due to the development of systems such as self-driving cars, unmanned aerial vehicles and robotic manipulators. READ MORE
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7. On Informative Path Planning for Tracking and Surveillance
Abstract : This thesis studies a class of sensor management problems called informative path planning (IPP). Sensor management refers to the problem of optimizing control inputs for sensor systems in dynamic environments in order to achieve operational objectives. READ MORE
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8. Sensor Management for Target Tracking Applications
Abstract : Many practical applications, such as search and rescue operations and environmental monitoring, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming, as both the number of sensors and their complexity are increasing. READ MORE
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9. Sampling Based Motion Planning for Heavy Duty Autonomous Vehicles
Abstract : The automotive industry is undergoing a revolution where the more traditional mechanical values are replaced by an ever increasing number of Advanced Driver Assistance Systems (ADAS) where advanced algorithms and software development are taking a bigger role. Increased safety, reduced emissions and the possibility of completely new business models are driving the development and most automotive companies have started projects that aim towards fully autonomous vehicles. READ MORE
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10. On Optimal Integrated Task and Motion Planning with Applications to Tractor-Trailers
Abstract : An important aspect in autonomous systems is the ability of a system to plan before acting. This includes both high-level task planning to determine what sequence of actions to take in order for the system to reach a goal state, as well as low-level motion planning to detail how to perform the actions required. READ MORE