POREĐENJE SENZORSKIH SPOSOBNOSTI VOZAČA I VISOKO AUTOMATIZOVANIH VOZILA/COMPARISON OF DRIVING SENSORS ABILITIES AND HIGHLY AUTOMATED VEHICLES

Abstract

Fully autonomous vehicles promise to replace drivers for most, if not all driving situations and scenarios. To do this effectively, effectively and safely, many sensors are required that are connected to the entire autonomous vehicle system (also called self-driving or driverless). Not only is it essential that such vehicles know exactly where they are in the world, they must be equally aware as a driver by alerting them to what is physically around them and what is happening around them. This is not an easy task given the wide range of fixed objects (signs, light poles, buildings, trees, lighting, etc.) and moving objects (vehicles, bicycles, pedestrians, animals, etc.), other road users and pedestrians, and environmental conditions (especially severe conditions such as rain, snow, fog, etc.). Adding to this challenge is the fact that most experienced drivers are reasonably capable of predicting the behavior of other road users and pedestrians. In addition to automated systems for everyday passenger cars, such systems are also being planned or currently being developed for other major road users, including heavy goods vehicles and taxi-like services. To sense and direct their way through the world, autonomous vehicles (AVs) will use different sensors to accomplish this task, each with its advantages and disadvantages. In addition, certain sensors can be used to perform multiple tasks.