Please use this identifier to cite or link to this item:
|Title:||Traffic Assistant: Creating a framework for automobile environmental information retrieval|
|Abstract:||In this project, we are laying down a framework for environmental Information retrieval. We have identified several algorithms that theoretically provide a real-time lane detection and object identification, and described how they can be used in an Android device, as a traffic assistant to a human driver, or an environmental processor for an automated system. Lastly, we have outlined an alternative method for object identification, which will be used as benchmark against the Android framework.|
|Type of Material:||Princeton University Senior Theses|
|Appears in Collections:||Computer Science, 1988-2017|
Files in This Item:
|PUTheses2015-Radoi_Horia.pdf||610.91 kB||Adobe PDF||Request a copy|
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.