The paper presents the steps of creating an experimental prototype of an autonomous mobile robot for coastal monitoring and forecasting marine natural disasters. These systems of continuous coastal monitoring are the necessary link in predicting possibilities of developing the resources of the Russian shelf (areas of the Arctic and the Far East). One of the most difficult issues, associated with the creation of the described product, is to ensure the necessary level of mobility in inaccessible areas of coastal zones. This problem is solved by development of the chassis of modular design with the possibility to be reequipped with different types of movers (wheeled, tracked, rotary-screw), depending on operating conditions and the physical and mechanical characteristics of the ground surfaces. The presented robotic complex is also equipped with a set of measuring instruments (circular scanning radar, weather station, navigation system, lidars, video cameras), which allows to carry out comprehensive studies of any coastal zone and evaluate the risks and hazards for providing data for engineering simulation of hydraulic systems and structures. The results of experimental investigations of the coastal zone in the south-east of Sakhalin Island, using the developed experimental prototype of the autonomous mobile robot, are given.
With the growth of computing power and the development of information technology in the last few years, the tendency for the development of unmanned vehicles has increased. Many leading corporations sponsor this industry. Since the creation of the concept of an unmanned vehicle implies that the computing systems in its composition must make decisions about the method and direction of its further movement, predict the further actions of the traffic participants and move in accordance with the rules of the road, these vehicles are equipped with powerful telemetry systems that allow to accurately evaluate surroundings. But, since there is a problem in incomplete data from one device (sensor), in this article, using a specific example, sensor fusion technology is considered that allows combining data from several sensors to achieve maximum results in solving problems of developing an unmanned vehicle.
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