Research on the Application of Sensor Technology in the Field of Intelligent Driving

With the dramatic speed of developing the advanced technology and the huge demand for the traffic. In order to minimize the cost and also to use the human resources more efficiently, autonomous driving was encouraged. There are plenty of embedded systems which are associated in the driving operating system and sensor technique is one of the most important appliance in the whole system. This essay is going to focus on all kinds of applications of sensors used in the autonomous driving technique and also the improvements that the sensors can have.The advancement of sensor technology is pivotal in the development of intelligent driving systems, significantly enhancing vehicle safety, navigation, and automation. This research paper explores various sensor technologies, including LiDAR, radar, cameras, and ultrasonic sensors, and their applications in intelligent driving. By examining the functions, advantages, and limitations of each sensor type, this study highlights their roles in critical driving tasks such as obstacle detection, lane keeping, and adaptive cruise control. Furthermore, the integration of these sensors within vehicle systems is discussed, emphasizing the importance of data fusion and machine learning algorithms in processing sensor data for real-time decision-making. The paper concludes with a discussion on future trends and challenges in sensor technology for intelligent driving, suggesting areas for further research and development.