Search for dissertations about: "ELLIIT"
Showing result 1 - 5 of 8 swedish dissertations containing the word ELLIIT.
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1. Methods for Scalable and Safe Robot Learning
Abstract : Robots are increasingly expected to go beyond controlled environments in laboratories and factories, to enter real-world public spaces and homes. However, robot behavior is still usually engineered for narrowly defined scenarios. READ MORE
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2. Multi-Cell Massive MIMO: Power Control and Channel Estimation
Abstract : Cellular network operators have witnessed significant growth in data traffic in the past few decades. This growth occurs due to the increase in the number of connected mobile devices, and further, the emerging mobile applications developed for rendering video-based on-demand services. READ MORE
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3. Interaction and Uncertainty-Aware Motion Planning for Autonomous Vehicles Using Model Predictive Control
Abstract : Motion planning plays a significant role in enabling advances of autonomous vehicles in saving lives and improving traffic efficiency. In a predictive motion-planning strategy, the ego vehicle predicts the motion of surrounding vehicles and uses these predictions to plan collision-free reference trajectories. READ MORE
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4. Security-Aware Design of Cyber-Physical Systems for Control Applications
Abstract : With cyber-physical systems opening to the outside world, security can no longer be considered a secondary issue. In this work, we focus on security threats to control applications in cyber-physical systems. READ MORE
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5. Data-Driven Interaction-Aware Behavior Prediction for Autonomous Vehicles
Abstract : Future progress toward the realization of fully self-driving vehicles still re-quires human-level social compliance, arguably dependent on the ability to accurately forecast the behavior of surrounding road users. Due to the inter-connected nature of traffic participants, in which the actions of one agent can significantly influence the decisions of others, the development of behavior pre-diction methods is crucial for achieving resilient autonomous motion planning. READ MORE