OBJECT DETECTION FOR UNMANNED GROUND VEHICLE BY USING LiDAR

Nowadays, increasing peace and improving the quality of life, controlling climate change and the environment are of great importance. To increase welfare in cities, the use of automatic cars and self-controllers is very important. On the other hand, controlling climate change and the environment is very important because it affects human life and the general condition of the earth. All of the above depends on increasing human knowledge and the use of powerful sensors such as LIDAR. This type of sensor has high efficiency in identifying the objects of change and with the help of data that can be provided from this sensor, it is possible for engineers to prepare maps and after preparing various maps over time, it is possible to identify climate change and An environmental environment is provided for future studies. Therefore, in this study, the structure, use and performance of the LIDAR sensor have been identified. Then, to identify the accuracy of this sensor, the sensor is installed on a ligament and then the position of objects with different brightness percentages and different sizes and sizes is identified. Then, by programming at the top, the data collected by the sensor is prepared. In the next step, by accurately measuring the detected distances, the accuracy of the sensor is determined. Consequently, by collecting all the data, a map of the identified and measured objects has been prepared. Finally, the artificial neural network (ANN) was used to propose a new algorithm for object detection and mapping instead of using LIDAR in future studies.