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Hadoop, as one of the most widely accepted MapReduce frameworks, is naturally data-intensive. Its several dependent projects, such as Mahout and Hive, inherent this characteristic. Meanwhile I/O optimization becomes a daunting work, since applications' source code is not always available. I/O traces for Hadoop and its dependents are increasingly important, because it can faithfully reveal intrinsic...
During bipedal walking, it is critical to detect and adjust the robot postures by feedback control to maintain its normal state amidst multi-source random disturbances arising from some unavoidable uncertain factors. The radical basis function (RBF) neural network model of a five-link biped robot is established, and two certain disturbances and a randomly uncertain disturbance are then mixed with...
Vision-based driver assistance requires basic vision modules for stereo analysis or optic flow calculation. Driving situations change frequently, and methods need to be evaluated in the real world. The paper proposes ways for evaluating optic flow techniques by using estimated geometries for surrounding buildings or 'road furniture'. It demonstrates the value of such an evaluation by discussing four...
Vision-based driver assistance is an active safety measure currently under development in various car companies and research institutes worldwide. The paper informs about related activities at The University of Auckland, focussing on stereo vision, performance evaluation, provided test data, and currently developed components.
This report informs about current activities and results in the .enpeda‥ (short for ‘environment perception and driver assistance’) project and related performance evaluation studies, in panoramic visualization, in environmental surveillance based on scanned footprints of small species, in artistic filters, and in the design of efficient geometric algorithms for areas related to 2D or 3D imaging or...
Motion analysis is of basic importance for vision-based driver assistance systems. Optical flow is a common image motion representation. This paper provides comparative evaluations of four different optical flow algorithms (called Horn-Schunck, CLG, BBPW, and TV-L1 in the paper). The algorithms are tested for synthetic and recorded sequences on original image data, on edge maps, and on residual images...
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