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Automotive apps can improve efficiency, safety, comfort, and longevity of vehicular use. These apps achieve their goals by continuously monitoring sensors in a vehicle, and combining them with information from cloud databases in order to detect events that are used to trigger actions (e.g., alerting a driver, turning on fog lights, screening calls).(More)
Precise positioning of an automobile to within lane-level precision can enable better navigation and context-awareness. However, GPS by itself cannot provide such precision in obstructed urban environments. In this paper, we present a system called CARLOC for lanelevel positioning of automobiles. CARLOC uses three key ideas in concert to improve positioning(More)
Creating a 3D graphics rendering engine is not a trivial task as users often demand for high quality output and performance. With the development of computer graphics hardware, graphics engine is a research focus. In this paper, an object-oriented 3D graphics engine-Gingko is presented and implemented. We discussed the general architecture of this engine(More)
The segmentation of vasculature is of utmost importance in medical image processing. It is arduous to represent the tubular structures of images obtained by recent imaging modalities with direct visualization. In this paper, we present a method of vessel segmentation in color volumetric medical images. Differ from using intensity images as data set, the(More)
Like today's autonomous vehicle prototypes, vehicles in the future will have rich sensors to map and identify objects in the environment. For example, many autonomous vehicle prototypes today come with line-of-sight depth perception sensors like 3D cameras. These cameras are used for improving vehicular safety in autonomous driving, but have fundamentally(More)
Virtual reality and computer simulation are two popular techniques in the field of today's computer applications. They are widely used in building virtual battlefield environment, reconstructing the real environment of the researched region, and foreseeing the combat situation. In this paper, a real-time virtual military simulation system is presented. We(More)
Many traditional medical image fusion methods cannot well preserve details of source images in the fused image. Aiming at handling this issue, a novel medical image fusion scheme based on gain control is developed by nonsubsampled contour let transform (NSCT). To enhance image details, the proposed method applies power law transformation to tune(More)