Abstract
Self-driving autonomous cars have gained significant attention and interest in recent years as they are anticipated to revolutionize the transportation industry. These vehicles rely on a variety of sensors and radars to navigate, detect obstacles, and make decisions. This review provides a comprehensive overview of the sensors and radars used in self-driving autonomous cars, including their capabilities, limitations, and applications. The primary sensors used in self-driving cars include cameras, lidars, radars, and ultrasonic sensors. Cameras are essential for capturing visual data and detecting objects, traffic lights, and road markings. Lidars use laser beams to detect objects in 3D and are useful in measuring distances accurately. Radars use radio waves to detect objects, and they can work in various weather conditions. Ultrasonic sensors, on the other hand, are used for close-range sensing, such as parking assistance. In addition to sensors, radars play a crucial role in self-driving cars by detecting the distance, speed, and direction of objects, providing information that can be used for decision-making. Radars can be categorized into short-range, medium-range, and long-range depending on their range of detection. Despite their benefits, sensors and radars have some limitations. For example, cameras may not function well in extreme weather conditions or when visibility is limited, while lidars may not detect low-reflectivity objects. In addition, sensors and radars are susceptible to interference, and they can generate false readings, leading to inaccurate decisions. Self-driving autonomous cars rely on a complex network of sensors and radars to operate safely and efficiently. Understanding the capabilities and limitations of these technologies is crucial for ensuring the successful development and implementation of self-driving cars. This review provides valuable insights into the various sensors and radars used in self-driving cars, highlighting their importance and applications in this emerging field.