By Mirsad Hadžikadić, Samir Avdaković
This quantity spans quite a lot of technical disciplines and applied sciences, together with complicated structures, biomedical engineering, electric engineering, strength, telecommunications, mechanical engineering, civil engineering, and computing device technological know-how. The papers integrated during this quantity have been offered on the foreign Symposium on cutting edge and Interdisciplinary purposes of complicated applied sciences (IAT), held in Neum, Bosnia and Herzegovina on June 26 and 27, 2016. This hugely interdisciplinary quantity is dedicated to varied features and kinds of platforms. platforms pondering is important for effectively development and realizing man-made, typical, and social structures.
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Extra info for Advanced Technologies, Systems, and Applications
Karabegović and V. Doleček Fig. 15 The robotic courier system used in medical institutions to serve patients  service robots that meet real needs in the areas of social assistance as well as in areas of human care which demand an advanced technology. The application of such next-generation robots will be promoted in areas where robots have more physical contact with people, provided that it guarantees man safety. 4 Conclusion Robotics technology is very attractive, challenging and imaginative discipline.
I. Hodžić and T. Namas Target Signatures and Pose Estimation 53 Fig. 22 Cross target Brownian distance correlation Fig. 23 Target Brownian sample distance variance 8 Conclusion In this paper we present continuation of our previous work in analysis of digital target signatures and the corresponding problem of pose estimation. Quality pose estimation is a required step in subsequent automatic target tracking operation. The target signatures are obtained from USA MSTAR public data base where varieties of commercial as well as military targets are included, obtained by SAR and HRR radars.
Figure 9 shows Zil truck (Target 3) signatures, where the gray scale levels are translated into digital signatures by averaging the gray level values along the X and Y axis. In other words, if we take the average of pixels of Fig. 5 when the truck is at zero degrees in both X and Y axis we get Fig. 9. Figure 10 adds variances as well, Target Signatures and Pose Estimation 43 Table 1 Target signature template Pose/target Pose 1 Pose 2 … Pose 274 Signature/correlation Target 1/tank X(1, 1)/Y (1, 1) X(2, 1)/Y (2, 1) X(3, 1)/Y (3, 1) X(4, 1)/Y (4, 1) P1 SS Pose 1 X(1, 2)/Y (1, 2) X(2, 2)/Y (2, 2) X(3, 2)/Y (3, 2) X(4, 2)/Y (4, 2) P2 SS Pose 2 … X(1, 274)/Y (1, 274) X(2, 274)/Y (2, 274) X(3, 274)/Y (3, 274) X(4, 274)/Y (4, 274) P274 SS Pose 274 T1 SAC Target 2/bulldozer Target 3/truck Target 4/rectangle Statistics Pose/target … … … … … Fig.