Abstract:

Autonomous vehicles operating without driver intervention can rightly be described as the vehicles of the future. We have already made great strides not only in the development of such robotic systems, but also in the development of autonomous cars or trucks intended for road traffic. Undoubtedly, such vehicles have a complex calculation system, but they also rely on unambiguous and accurate mapping of the surrounding terrain. Moreover, the world's manufacturers currently use camera systems or systems based on the principles of Lidar or their combination. In the field of passenger cars or trucks, Velodyne Lidar, which is widely used, is the most dominant. This can map the vehicle's surroundings quickly enough and provide information about objects, obstacles or terrain with an accuracy of a few millimeters to centimeters to a distance of several tens of meters. It therefore represents a modern component not only of autonomous robotics, but also of autonomous vehicles. In our paper we will focus on the possibility of implementing Velodyne Lidar into teaching, specifically within the subject of informatics. We will describe the specific procedures, point out the method of testing and evaluation of the obtained results and determine the minimum number of lessons required for successful implementation. For advanced users, we will also show how to detect fire in motor vehicle collisions, with the aim of automatically accidents detecting. Based on the necessary knowledge and skills of students, we determine the degree of implementation with respect to the recommended year of study. This implementation also requires knowledge of different subjects. For instance from mathematics – trigonometry, graphics (3D presentation itself and subsequent processing of this information), as well as of physics and other subjects. It significantly contributes to the support of intersubject relationships.

Keywords:

Velodyne Lidar, laser, computer science, autonomous vehicles.