By D. Xu
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Additional info for Embedded Visual System and its Applns. on Robots
23 shows the trajectories of the mobile robot computed from the vision system and odometers. Start Figure 23: Test result without obstacle Environment with Obstacle In this test, there was only one obstacle in the environment and the color block affixed to the wall as the object, as shown in Fig. 24. Some pictures of the mobile robot in approaching experiment are given in Fig. 25. The trajectory of the mobile robot computed from the vision system is shown in Fig. 26. Object (color block) Obstacle Mobile robot Figure 24: Test Environment with obstacle From these two tests, it can be seen that the embedded vision system based on ARM processor can work as a vision sensor to provide satisfactory object position information.
Beijing University of Aeronautics and Astronautics Press, Beijing, 2007. Venkateswaran S. Essential Linux device drivers. Prentice Hall Press, New Jersey, 2008. Rafael C, Gonzalez RE, Woods M. Digital image processing (2nd edition), Electronic Industry Press, Beijing, 2004. Warren WG. Linux socket programming by example, Que Publishing, 2000. 30 Embedded Visual System and its Applications on Robots, 2010, 30-46 CHAPTER 3 Embedded Vision Positioning System Based on ARM Processor Wei Zou*, De Xu and Junzhi Yu Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
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