Search
Skip to Search Results-
Fall 2019
Object detection is an image processing technology to detection different classes of objects using computer vision, i.e. putting bounding boxes over objects from a camera video feed. A landmark detection method was the Viola-Jones Algorithm introduced in 2001. The object classifier in this...
-
Fall 2023
Unique challenges arise when attempting to navigate unknown GPS-denied subterranean environments. To successfully explore these environments a vehicle much be able to reconcile the nonlinear dynamics of motion, accommodate for diverse terrain, adjust to static and moving obstacles, combat...
-
Spring 2021
There is a growing trend of using unmanned aerial vehicles (also known as UAVs, uncrewed aerial vehicles, or drones) to manipulate and interact with their surroundings. The algorithms and tools used are typically unique to the different tasks performed by UAVs; however, the fundamental UAV system...
-
Fall 2014
Advances in sensor technology and unmanned aircraft systems (UAS) have created the opportunity for low cost aerial monitoring. As much of this development is not tailored for remote sensing applications, a custom built UAS was used to test the feasibility of inexpensive monitoring over forested...
-
Fall 2019
This thesis aims to develop a motion control strategy for an Unmanned Aerial Vehicle (UAV) to execute a pursuit algorithm based on a vision based object detection algorithm. This enables a pursuer UAV to follow a target UAV based on images obtained from the onboard camera of the pursuer. The UAV...
-
Fall 2017
Vision-based algorithms designed to detect and track UAVs from an onboard moving platform have been the focus of active and extensive research over the last decade, and dozens of algorithms have been tested, compared and optimized. However, the existing approaches tend to rely on specific...