Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Autonomous Vehicle Control"”.
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Autonomous Vehicle Control using Image Processing
… thesis describes the design of an inexpensive autonomous vehicle system using a small scaled model vehicle. The system is capable of operating in two different modes: telerobotic manual mode and automated driving mode. In telerobotic manual mode, the model vehicle is controlled by a human …
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Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections
… driver safety at signalized intersections and uncontrolled intersections in a connected vehicles environment. For signalized intersections, we exploit datasets collected from four controlled experiments to model the stop-run behavior of the driver at the onset of the yellow indicator for various …
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Data fusion techniques for nondestructive evaluation and medical image analysis
… defense (such as battlefield surveillance and autonomous vehicle control), medical diagnosis and structural health monitoring. Techniques for data fusion have been drawn from areas such as statistics, image processing, pattern recognition and computational intelligence. This dissertation …
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Adaptive sampling in autonomous marine sensor networks
… for real-time adaptive and cooperative control of autonomous sensor platforms in a marine sensor network is described in the context of the autonomous oceanographic network scenario. This architecture has three major components, an intelligent, logical sensor that provides high-level …
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Reinforcement Learning Control for Mobile Robot Parking with Safety Constraints
… that combines reinforcement learning (RL) with control barrier function (CBF)-based methods to achieve safe autonomous vehicle control, focusing on parking with obstacle avoidance. We apply Deep Deterministic Policy Gradient (DDPG) methods for continuous control and evaluate policies across …
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A viable multivariable adaptive controller with application to autonomous helicopters
Autonomous helicopters carry out missions in inaccessible hazardous environments. Their performance capability in speed, maneuverability and trajectory tracking must be comparable, if not superior, to manned vehicles. Control laws that meet desired performance specifications are difficult to design …
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Adaptive sampling in autonomous marine sensor networks
… for real-time adaptive and cooperative control of autonomous sensor platforms in a marine sensor network is described in the context of the autonomous oceanographic network scenario. This architecture has three major components, an intelligent, logical sensor that provides high-level …
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Dynamic Coordination Architecture and Mobility Management for Next Generation Cooperative Cellular Networks
… also consider potential use cases, such as autonomous vehicle control, smart cities, remote surgery and eHealth, tactile internet, etc. To address these challenges and potential use cases, network densification such as ultra-dense heterogeneous networks (UDHetNet) and multi-cell cooperation …
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Uncertainty Estimation in Deep Learning with application to Spoken Language Assessment
… where the cost of an error is high, such as in autonomous vehicle control, high-stakes automatic proficiency assessment and in the medical, financial and legal fields. In the first part of this thesis uncertainty estimation via ensemble and single-model approaches is discussed in detail and a …
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Adaptive Longitudinal and Lateral Control for Autonomous Vehicles: High-Speed Platooning of Articulated Trucks
Autonomous vehicle technology has seen remarkable advancements in recent years, yet significant challenges remain in ensuring robust, adaptive, and efficient control algorithms for diverse operational scenarios. This dissertation aims to address these challenges by developing and validating a …