Projects

(Originally published on 09/21/2012)

Based on state-of-the-art embedded processor technology as its computational platform, we have developed a fully integrated and operational system, that targets applications which require power-efficiency, compactness, and low cost...

(Originally published on 09/21/2012)

The efficient detection and tracking of moving objects is currently one of the most active research topics within the areas of computer vision and digital video processing. There are two key steps in object tracking...

(Originally published on 09/21/2012)

Passive safety systems such as seatbelts and airbags provide protection right after collision takes place, but more recently active safety systems have been introduced to prevent collision...

(Originally published on 09/21/2012)

Unlike conventional 2D tracking, our 3D tracking algorithm uses depth data sequences with high resolution. As a result, the complete 3D map of the environment is achieved...

(Originally published on 09/21/2012)

The Drowsy Driver Detection System (DDDS) senses the onset of drowsiness and tracks fatigue. Changes that accompany drowsiness such as changes in general activity (fidgeting), eye blink frequency and duration, and eyelid movement...

(Originally published on 09/21/2012)

The intelligent car initiative was proposed to combine the three main areas of research at the Computer Vision and Sensing Systems Laboratory: Driver Assistance, Vehicle Guidance and Navigation and Active/Passive Safety...

(Originally published on 09/21/2012)

Project Duration: April 2008 until March 2010.  

Distributed sensors and controls can enable fundamental advances in automotive factory automation. Conventional sensor systems rely on hard-wired communication systems...