At St. Petersburg State Electrotechnical University "LETI," scientists are creating autonomous vehicle control systems. This direction is seen as promising: a mass transition to autonomous vehicles could significantly reduce traffic accidents, decrease mortality rates, address driver shortages, and optimize the costs of passenger and cargo delivery, among other benefits. The latest development from St. Petersburg scientists is an autonomous truck based on the electric "Gazelle E-NN." The foundation for this self-driving vehicle is a standard truck manufactured by the Gorky Automobile Plant. To gather data on road conditions, the truck is equipped with various sensors. LiDARs (laser sensors) provide distance information to other objects at any time of day. Cameras capture visual images to recognize road signs and objects. An inertial navigation system helps the truck follow a set path, while GPS monitors its movement via satellite. The data collected by these sensors is processed and filtered by special software using artificial intelligence algorithms. The system developed at LETI analyzes the full spectrum of data to make decisions for safely operating the autonomous truck on public roads. Currently, LETI scientists are working to eliminate issues that arise when using autonomous vehicles, such as incorrect operation of visual sensors in adverse weather conditions (heavy rain or fog), imperfections in data processing algorithms for optimal decision-making, and GPS errors in densely built urban areas.