AI in autonomous driving

 

 What is AI autonomous driving?

       The application of artificial intelligence technologies to enable vehicles to operate independently without human input. This system integrates various AI techniques to allow vehicles to navigate and function safely across different driving conditions. It relies on sensors like cameras, radar, and LiDAR to collect data about the environment, which AI algorithms then process to understand and interpret road conditions and obstacles. The AI system makes real-time decisions for path planning, steering, acceleration, and braking, continually improving through machine learning. Additionally, it addresses ethical and safety considerations to ensure secure and efficient driving, aiming to enhance the overall driving experience and reduce human error.

 The importance of AI autonomous driving in our society

        AI technology learns through algorithms that most of the data all over the world using the algorithm of AI has generated the expected outcome. It means that it has its unique learning styles to collect and represent such data without variables, unlike humans who could create more unexpected value which involves more risks than AIs. Using the Algorithm of AI enables the processing and analysis of data to extract clear information and important patterns to make informed decisions without forgetting it since it has a database within itself. However, it is important to note that the accuracy and reliability greatly depend on the quality and representative of the data used for algorithm training which regular monitoring, testing, and refinement is required to maintain the performance of AI systems. Therefore, there are reasons why people use AI technology which mostly generates the expected value, unlike humans who create variations within the result.

 Das, S., Dey, A., Pal, A., & Roy, N. (2015). Applications of artificial intelligence in machine learning: review and prospect. International Journal of Computer Applications, 115(9). Applications of Artificial Intelligence in Machine Learning: Review and Prospect (psu.edu)