Özet:

As a result of technological developments in today's world, the use of unmanned land vehicles and the importance of remote sensing techniques have increased. These technologies are used in many different areas from natural disasters to the defense industry. The unmanned land vehicle, thanks to its sensors, is able to recognize its environment and transfers the correct data about the environment to the relevant people or institutions, preventing possible bad scenarios. In this study, it was aimed to provide easy transportation of autonomous robots thanks to the sensor techniques that will be used in the environments that are planned to be sent, and to perform its task more effectively by recognizing the relevant environment and to lower cost. In the developed system, LIDAR laser scanning sensor is used to model the environment where the unmanned land vehicle is located. In the system design, the definition of the environment has been enriched by using image processing technique and night vision camera. The motor driving operations of the unmanned land vehicle and the control of various peripherals are provided by Arduino microcontroller. LIDAR and camera work on Raspberry Pi embedded system computer. As a result of the work carried out, an ergonomic, safe, integrated robot design has been created that will reduce the financial resources allocated by the relevant organizations for environmental detection systems, where the user can recognize the relevant environment by remotely monitoring dangerous environments.

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