Artificial Intelligence (AI) is an essential technology for the development of autonomous vehicles, enabling them to perceive, reason, and act in their environment with a level of sophistication and precision that would not be possible with traditional programming techniques alone.
AI plays a critical role in the development and operation of autonomous vehicles. Autonomous vehicles rely on a combination of sensors, data, and algorithms to perceive their environment and make decisions about how to navigate it. AI technologies, such as machine learning and computer vision, are used to analyze the data collected by these sensors and make predictions about the vehicle’s surroundings.
Machine learning algorithms can be trained to recognize and classify objects in the vehicle’s environment, such as other vehicles, pedestrians, and traffic signs. These algorithms can then use this information to make decisions about how to navigate the vehicle safely and efficiently. Computer vision is also a critical component of autonomous vehicles, allowing them to “see” and interpret their environment. Computer vision algorithms can analyze images and video data collected by the vehicle’s cameras and sensors to identify obstacles and other objects in the environment. In addition to perception and decision-making, AI is also used in the development of autonomous vehicle control systems. These systems use advanced algorithms to control the vehicle’s acceleration, braking, and steering, ensuring that the vehicle operates safely and smoothly
Special Session Chairs
- Filiberto Muñoz Palacios
filiberto.munoz@cinvestav.mx
CINVESTAV-CNRS, Mexico - Jorge Said Cervantes Rojas
trentsteven@gmail.com
CINVESTAV-CNRS, Mexico