Computer vision and deep learning are rapidly evolving fields being implemented for a variety of different applications, including object detection and tracking for auton[...]

Remote monitoring of propane tank fuel levels can have many convenience and cost benefits for both suppliers and consumers. For suppliers, physical tank checks can be eli[...]

Causal modeling enables robust counterfactual reasoning and interventional mechanisms to make predictions across different hypothetical scenarios. Nevertheless, uncoverin[...]

The rise of AI powered computer vision algorithms offers the possibility of intelligent data processing, and decision making based on streaming data from video cameras. A[...]

In recent days, smart electronics have evolved into ubiquitous computing with connected interfaces such as self-driving automobiles with evolution in sensor network techn[...]

This thesis addresses the challenge of autonomous navigation in partially known environments, focusing on mobile robots equipped with limited sensing capabilities. Path p[...]

When executing safety-critical missions, tracking algorithms must be dependable, accurate, and have quantifiable tracking performance in non-ideal environments (e.g., act[...]

Localization and communication are critical components for functioning autonomous robots. The infrastructure required or these operations commonly includes global positio[...]

The Internet of Things (IoT) provides unlimited possibilities for smart city applications. However, energy efficiency and scalability continue to be key considerations fo[...]

Optimally modulating a vehicle's speed profile through highway, urban, and suburban environments can result in pronounced fuel savings, particularly with heavy-duty vehic[...]