Data-fused urban mobility applications for smart cities

Though vehicles are becoming more advanced with added safety feature technology, we must still rely on our own instincts and senses to make decisions. This thesis presents two applications that can be utilized by drivers, passengers, or pedestrians and allow a wider range of visibility during commutes. The first application uses the concept of see-through technology to assist the driver with a real-time augmented view of a traffic scene that in reality may be blocked by the vehicle in front. The second application presents a mobile application that utilizes two sources to gather the user's location information, one using absolute location from a Global Positioning System (GPS) enabled device and the other from merging the concepts of computer vision, object detection, and mono-vision depth calculation, and place each instance of an identified object on the mapping application. Currently, mapping items such as stores, accidents, and traffic conditions are very common, but this application takes into account the location of individual users to give a holistic view of people instead of places.

Grantor dc:publisher

University of Tennessee at Chattanooga

Year dc:date.available

2019

Author dc:creator

• Thompson, Rebekah

Contributors dc:contributor

• Sartipi, Mina
• Wu, Dalei; Kandah, Farah
• College of Engineering and Computer Science

• Smart power grids
• Intelligent transportation systems

Licence

• https://rightsstatements.org/page/InC/1.0/?language=en

Language dc:language

English, eng

Repository record dc:identifier

https://scholar.utc.edu/theses/571

OAI identifier oai:identifier

oai:scholar.utc.edu:theses-1725