Hang Qiu

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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)
—Grass is an essential element of natural scenes, which plays an important role in various fields of applications, such as virtual reality, computer games and special effects of movie. Unfortunately, it is still difficult to render and animate grass with interactive frame rates due to the huge number and wide covering range of grass blades. Realistic(More)
Visualization of very large digital elevation models plays an important role in many applications ranging from computer games to professional Geographic Information System (GIS). However, the size of terrain datasets is much larger than the capacity of main memory, which brings up serious challenges for the interactive visualization of massive terrain. In(More)
The enormous success of advanced wireless devices is pushing the demand for higher wireless data rates. The industry is satisfying this increasing demand by densely deploying large numbers of access points (APs). Unfortunately, unicast rates, especially in crowded scenarios, remain very low due to severe interference and time-sharing. However, one may take(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 lane-level positioning of automobiles. CARLOC uses three key ideas in concert to improve(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 lane-level positioning of automobiles. CARLOC uses three key ideas in concert to improve(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 lane-level positioning of automobiles. CARLOC uses three key ideas in concert to improve(More)
To extract fine details from input bracketed images and preserve them in the final image, a novel exposure fusion method based on the nonsubsampled contourlet transform (NSCT) is presented in this paper, in which unique visual weight map is used for the detail extraction and an improved weight measurement is developed to remove the motion objects in dynamic(More)