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We present a method for 3D shape reconstruction of inextensible deformable surfaces from monocular image sequences. The key of our approach is to represent the surface as 3D triangulated mesh and formulate the reconstruction problem as a sequence of Linear Programming (LP) problems which can be effectively solved. The LP problem consists of data constraints which are 3D-to-2D keypoint correspondences...
This paper presents a fast and robust lane detection method designed to track 3D road shape and estimate accurate vehicle location in real-time. This method is based upon road curvature calculated from digital road network. This curvature gives cues for detection in some difficult situation like road lane markers are occupied by other vehicles, dirt and shadow. Moreover, to stabilize estimated road...
This paper presents a novel solution of vehicle occlusion and 3D measurement for traffic monitoring by data fusion from multiple stationary cameras. Comparing with single camera based conventional methods in traffic monitoring, our approach fuses video data from different viewpoints into a common probability fusion map (PFM) and extracts targets. The proposed PFM concept is efficient to handle and...
In this paper a real-time data fusion approach for vehicle localization to adaptive stabilization of uncertain GPS localization system is presented. Our approach is based on the fusion of GPS, 3D gyroscope and speedometer. The global probability density function (PDF) is adopted to be the blending factor instead of general Kalman gain function, which allows our approach to be robust and accurate for...
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