By L. Mussio, G. Forlani, F. Crosilla
The booklet comprises 31 papers on diversified fields of software and the issues of modelling and organizing facts in buildings, the processing concepts of GIS information for queries to the method and the so-called Dynamic GIS were stated intimately. a last paper on special effects rules is integrated. Its contents could be preferably accrued in 5 chapters, within the first one a few reports on info acquisition with budget friendly DGPS for highway survey and assessment on car Navigation structures (VNS) are proven. the second one on "GIS facts acquisition and evaluate” collects a type of papers treating powerful statistical innovations utilized to pre-processing, research and checking out for other kinds of GIS facts. in the subject on "image acquisition and preprocessing” particularly a few reviews on try and calibration of other scanners for GIS information acquisition are mentioned in addition to a few unique techniques to the automated DTM iteration for cartographic and shut diversity functions. eventually, a few purposes to the environmental tracking and to using other kinds of geodetic facts in multipurpose local GIS, including a few examples of the applicability of multimedia know-how to structure and civil engineering is shown.
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Extra info for Data Acquisition and Analysis for Multimedia GIS
N and y(t), UJ (t), ... ,u2k (t)are the measures of2k+ 1 real variable obtained in the old extended view, in the local view or both. The estimate of the 2k parameters ci is computed using the Markov's weighted least squares method. ;),J and V the covariance matrix ofv, the following relation holds: y=e +v the Markov's estimator and its covariance matrix are: Extemal relations are used to specify comer positions in the new extended view, knowing the position of corrispondent comers in the old extended view, in the local view or both.
INTRODUCTION Many tasks for mobile robots require a detailed description ofthe environment. A goal for many researchers is prograrnming the robot to acquire autonomously robust and consistent descriptions of its surroundings using sensory information; the robot must be able to operate in unstructured environments with little a priori information. This kind of task is commonly called exploration of an unknown environment (see for example ). The exploration task involves many problems, including the robot self-location, the sensor data integration, the exploration strategies, the path planning, the obstacle avoidance.
The paper is organized as follows. Section 2 introduces the theoretical approach and the basic features of the representation model. Section 3 focuses on our version of the "diktiometric representation" and presents a new approach to the problem of maintaining the consistency of the model. Section 4 draws some conclusions. 2. THEORETICAL APPROACH AND INSTRUMENTS In order to cope with intrinsic limitations of the sensory system and with the uncertainty of the provided observations, representation models must be able to express uncertain, partial and often spurious information.