Object Detection in Autonomous Vehicles
Autonomous vehicles rely on sensors and cameras to detect and classify objects like pedestrians, other vehicles, traffic signs, and obstacles. This information helps the car make safe driving decisions, avoid collisions, and navigate complex environments.
Example: Tesla’s Autopilot System
- Application: Tesla’s Autopilot uses a combination of cameras, radar, and ultrasonic sensors to detect and classify objects around the vehicle. This system helps the car navigate roads, change lanes, and avoid obstacles autonomously, enhancing safety and driving efficiency.
Real-World Applications of Object Detection
Object detection is a powerful computer vision technology that enables systems to identify and locate objects within an image or video. It involves recognizing what objects are present (like a car, person, or dog) and determining where each object is located. This technology is widely used in various applications, including security cameras, self-driving cars, and smartphone apps that can identify objects through the camera.
In this article, we will explore some of the most impactful Real-World Applications of Object Detection.
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