The goal of this project is to develop a visual navigation system for use in vehicles using Android tablets. Current vehicle navigation techniques rely solely on static road maps and noisy global positioning system (GPS) data. This approach is prone to errors where GPS information is not available, such as urban canyons. The project proposes to use a windshield mounted. Android tablet as a sensor platform for augmenting in-vehicle navigation. The project begins by detecting and tracking salient features over time from the color camera images. Combined with the accelerometer and gyroscope data, we can distinguish between static (background) and dynamic (foreground) features in the images. The static features are then used to compute the visual odometry (motion of the vehicle) and produce a 3D model of the environment. This information can then be used to augment the navigation system with local, real-time information and overlays.
|firstname.lastname@example.org||Daniilidis, Kostas||University of Pennsylvania||PI||Faculty - Tenured|
|Final Report||212.pdf||July 27, 2018, 11:06 a.m.|
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