Imagine a robot that avoids walls using an ultrasonic sensor and also follows a line using IR sensors. These are multiple inputs working together – this concept is called Sensor Fusion.
🤖 What is Sensor Fusion?
Sensor fusion is the process of using data from two or more sensors and combining them to make better decisions. It helps robots perform smarter actions based on a combination of inputs.
🔄 Why Use Sensor Fusion?
One sensor might not be enough – combining improves reliability
Allows more accurate environment understanding
Reduces errors due to noise or limitations in one sensor
📌 Real-life Examples:
Self-driving cars use cameras + radar + lidar
Smartphones use gyroscope + accelerometer for screen orientation
Drones use GPS + compass + barometer for stable flight
🛠 Arduino Example: IR + Ultrasonic
Let’s say we want a robot that follows a line but stops if there’s an obstacle ahead. Here's how logic works:
IR sensors detect line and control steering
Ultrasonic sensor checks for obstacles in front
If obstacle < 10 cm, robot stops even if line is visible
🧪 Sample Code Snippet:
int distance = readUltrasonic();
int lineLeft = digitalRead(2);
int lineRight = digitalRead(3);
if (distance < 10) {
stopMotors();
} else {
if (lineLeft == LOW && lineRight == LOW) {
moveForward();
} else if (lineLeft == LOW) {
turnLeft();
} else if (lineRight == LOW) {
turnRight();
} else {
stopMotors();
}
}
💡 Tips for Sensor Fusion
Start with simple logic — avoid overcomplicating
Test each sensor separately before combining
Use comments to keep logic clear and maintainable
Sensor fusion helps your robot make better decisions — a critical step in moving from basic bots to intelligent ones. Up next, we’ll build a live multi-sensor display to visualize all this in action!