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Articles 1 - 4 of 4
Full-Text Articles in Computer Engineering
An Approach To Counting Vehicles From Pre-Recorded Video Using Computer Algorithms, Mishuk Majumder
An Approach To Counting Vehicles From Pre-Recorded Video Using Computer Algorithms, Mishuk Majumder
LSU Master's Theses
One of the fundamental sources of data for traffic analysis is vehicle counts, which can be conducted either by the traditional manual method or by automated means. Different agencies have guidelines for manual counting, but they are typically prepared for particular conditions. In the case of automated counting, different methods have been applied, but You Only Look Once (YOLO), a recently developed object detection model, presents new potential in automated vehicle counting. The first objective of this study was to formulate general guidelines for manual counting based on experience gained in the field. Another goal of this study was to …
Tech Comm Eagle Eye-Tracking Control System, Gabiella Lail, Robert Shaw, Hunter Smatla, Matthew Gary
Tech Comm Eagle Eye-Tracking Control System, Gabiella Lail, Robert Shaw, Hunter Smatla, Matthew Gary
Discovery Day - Prescott
Mobile eye-tracking systems provide usability research support as well as access to a wide range of robotics and technical communication research opportunities. Optical tracking systems are often prohibitively expensive and do not provide the mobility or flexibility needed for a variety of research application possibilities. Our team proposes building a simple mobile eye-tracking system to be used in-house at ERAU for heat-mapping, robotics, control systems, and various technical communication applications in a structured research environment. The mobile eyetracking system will become part of a larger research and hands-on technical communication usability lab and research center. The research team intends to …
Desarrollo De Un Esquema De Gestión Hídrica En El Sistema Acuífero Sap 3.1 Apoyado De La Tipificación De Suelos Y El Modelo Conceptual De Thöt, Maria Camila Soriano Espinosa, Camilo José Rodríguez Carvajal
Desarrollo De Un Esquema De Gestión Hídrica En El Sistema Acuífero Sap 3.1 Apoyado De La Tipificación De Suelos Y El Modelo Conceptual De Thöt, Maria Camila Soriano Espinosa, Camilo José Rodríguez Carvajal
Ingeniería Ambiental y Sanitaria
El presente proyecto tiene como objetivo principal desarrollar un esquema de gestión hídrica (EGH) en el sistema acuífero SAP 3.1, provincia llanos orientales, con base en la tipificación de suelos y el modelo conceptual de Tӧth, partiendo de que las aguas subterráneas se consideran una fuente alternativa de abastecimiento por su mejor calidad y el bajo costo de manejo en comparación al agua superficial, y teniendo en cuenta que el Departamento del Meta conoce la riqueza hídrica que está en su jurisdicción, no cuenta con una regulación adecuada en pro de una gestión hídrica a nivel subterráneo. La metodología empleada …
Comparison Of Object Detection And Patch-Based Classification Deep Learning Models On Mid- To Late-Season Weed Detection In Uav Imagery, Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric T. Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi
Comparison Of Object Detection And Patch-Based Classification Deep Learning Models On Mid- To Late-Season Weed Detection In Uav Imagery, Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric T. Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi
Biological Systems Engineering: Papers and Publications
Mid- to late-season weeds that escape from the routine early-season weed management threaten agricultural production by creating a large number of seeds for several future growing seasons. Rapid and accurate detection of weed patches in field is the first step of site-specific weed management. In this study, object detection-based convolutional neural network models were trained and evaluated over low-altitude unmanned aerial vehicle (UAV) imagery for mid- to late-season weed detection in soybean fields. The performance of two object detection models, Faster RCNN and the Single Shot Detector (SSD), were evaluated and compared in terms of weed detection performance using mean …