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A visual gyroscope is a device which estimates camera 3D rotation using image input, in our case a monocular video. Contrary to traditional Structure-From-Motion (SFM) or visual SLAM, we address the case where only the rotation must be found, whereas no translation estimate is desired. That case can be solved without computing an explicit 3D map of the environment, thus avoiding computationally expensive...
Accurate localization of a vehicle is a challenging task as GPS available on the market are not designed for lane-level accuracy application. Although dead reckoning helps, cumulative errors from inertial sensors result in a integration drift. This paper presents a new method of localization based on sensors data fusion. An accurate digital map of the lane marking is used as a powerful additional...
The positioning of agricultural vehicle for autonomous navigation systems is important. We proposed a novel simple and inexpensive positioning system utilized by four artificial landmarks and an omni directional vision sensor. The red intensity pixels not less than threshold were extracted as a small area in the omni directional image and the center of the gravity was calculated as one landmark position...
There has been a significant advancement in the remote sensing and mapping technology in the last few decades. Due to its decreasing cost and increasing resolution, digital cameras are rapidly replacing the need for the conventional large format analogue cameras. Also, with the advent of GPS/INS, direct sensor orientation became possible, providing the means for an almost control-free mapping environment...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
In many mobile robot application, navigation is a critical issues. This paper deals with the localization and building problem in an unknown indoor environment. We propose an exploration based on the use of the sensorial data provided by one CCD camera and odometer system. In this paper, the first part of our study is linked to the problem of Vehicle Model and the algorithm model. The second part...
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