AI-Powered Environmental Perception and Behavioral Decision-Making in Self-Driving Cars
The world of transportation is on the cusp of a revolutionary transformation, with self-driving cars at the forefront. These autonomous vehicles rely on cutting-edge artificial intelligence (AI) systems not only to perceive their environment but also to make complex behavioral decisions. In this blog, we explore how AI enhances environmental perception and shapes the decision-making capabilities of self-driving cars, offering a glimpse into the future of safer, more efficient, and environmentally friendly transportation. Environmental Perception: The Eyes and Ears of Self-Driving Cars Environmental perception is the ability of self-driving cars to sense, understand, and interact with their surroundings. This includes recognizing objects, pedestrians, traffic signs, road conditions, and more. AI plays a pivotal role in this process through a combination of sensors and advanced algorithms: Sensor Fusion: Self-driving cars employ a diverse range of sensors, such as LiDAR, cameras, radar,...