By Zygmunt Kuś, Sławomir Fraś (auth.), Aleksander Nawrat, Krzysztof Simek, Andrzej Świerniak (eds.)
One of the world’s prime difficulties within the box of nationwide safeguard is safeguard of borders and borderlands. This publication addresses a number of matters on complex cutting edge equipment of multi-level keep watch over of either floor (UGVs) and aerial drones (UAVs). these items mixed with cutting edge algorithms develop into independent gadgets in a position to patrolling selected borderland parts via themselves and instantly tell the operator of the procedure approximately strength position of detection of a particular incident. this is often accomplished by utilizing sophisticated
methods of iteration of non-collision trajectory for these varieties of gadgets and allowing automated integration of either floor and aerial unmanned autos.
The subject matters incorporated during this booklet additionally disguise presentation of whole details and conversation expertise (ICT) platforms in a position to keep watch over, remark and detection of varied different types of incidents and threats. This publication is a important resource of data for constructors and builders of such recommendations for uniformed providers. Scientists and researchers concerned with desktop imaginative and prescient, picture processing, facts fusion, regulate algorithms or IC can locate many worthy feedback and options. a number of demanding situations for such platforms also are offered.
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About the Author
Lee Allen is at the moment the Vulnerability administration software Lead for one of many Fortune 500. His trip into the interesting global of defense started within the Eighties whereas vacationing BBS's along with his trusty Commodore sixty four and a room carpeted with five. 25-inch diskettes.
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Additional resources for Advanced Technologies for Intelligent Systems of National Border Security
The Control System for Autonomous Mobile Platform 19 Fig. 4 Main controller Other sensors, such as: temperature sensors , ultrasonic rangefinders, may be connected to an external derived I2C bus driver. Main controller using the AT91 microcontroller is shown in figure 4. Where: 1 - operator panel connector, 2 - power connector, 3 -UART2 connector, 4 - JTAG connector, 5 - I2C connector, 6 - UART0 connector, 7 - UART0 power jumper, 8 - servo connector, 9 - ISP connector, 10 - radio receiver connector, 11 rotation sensor connector, 12 - UART1 connector.
6 User interface (from left: main menu, GPS 1/2, GPS 2/2, servo position, electronic compass, accelerometer) Two channels, as in the case of a simple remote control, are used to transmit information about the location and direction of the throttle servo. A third channel, acts as a switch to allow the change of source signals servomechanisms between the The Control System for Autonomous Mobile Platform 21 Fig. 7 Auto/Manual switch Fig. 8 Connectors view. 1 - power connector, 2 - UART0 connector (IMU), 3 - UART2 connector (GPS), 4 - rotation sensor and I2C, 5 - servo connector, 6 - antenna connector 2,4GHz apparatus of the FM (manual) and microcontroller (autonomous).
16 Block diagram of speed control 26 A. Babiarz, K. Jaskot, and P. Koralewicz Fig. 17 Examples of waypoints navigation Fig. 18 Examplary measurments recorded during autonomous drive (Azimuth -GPS, electronic compass; Speed - GPS, encoder; Servos) Examples of autonomous waypoints navigation (figure 17) show positions and orientation taken from GPS and electronic compass. During drive we also recorded measurements such as velocity (GPS, encoder), azimuth (GPS, electronic compass), servos (figure 18).