Visual Perception in Autonomous Driving
Let’s consider a situation where an autonomous vehicle is driving on a suburban road and approaches a busy intersection. The process of visual perception takes place in the following manner:
- The autonomous vehicle contains cameras and sensors that capture high-resolution images and videos from the environment.
- The data is collected from the cameras and sensors and preprocessed to adjust variations in lighting and weather conditions, ensuring the images are clear and uniform.
- Features are extracted from the preprocessed image. The features include traffic signals, vehicles, pedestrians.
- Using deep learning models, particularly convolutional neural networks (CNNs), the system classifies and labels each object.
- The vehicle’s AI combines all the recognized elements to comprehend the scene holistically. It understands that it must stop because the traffic light is red and a pedestrian is crossing the street. This scene understanding also involves predicting the actions of these elements (e.g., estimating whether the pedestrian will continue to cross or stop).
- Based on this comprehensive visual understanding, the vehicle’s AI makes decisions in real-time. It decides to slow down and stop at the intersection, wait for the pedestrian to cross, and for the light to turn green.
- The vehicle executes the decision, engaging the brakes smoothly to stop at the intersection, and resumes driving once it’s safe and legal to proceed.
What is Visual Perception in AI?
Visual perception is the ability of artificial intelligence-enabled machines to process images and video and obtain relevant information about the surroundings with the use of various sensors and algorithms. The article aims to cover the concept of visual perception, its importance, key principles, processes, and applications.
Table of Content
- Understanding Visual Perception in AI
- Visual Perception Process in AI
- Key Techniques in Visual Perception
- Visual Perception in Autonomous Driving
- Application of Visual Perception in AI
- Conclusion
- Frequently Asked Questions