1. Introduction

This tutorial aims to provide an in-depth understanding of Augmented Reality (AR) sensors, their types, and functions. By the end of this guide, you will have a comprehensive understanding of how AR sensors work and how they create immersive AR experiences.

What You Will Learn
- Different types of AR sensors
- How AR sensors work
- How to code with AR sensors

Prerequisites
- Basic knowledge of programming (any language, but examples will be in Python)
- Interest in AR technology

2. Step-by-Step Guide

Understanding AR sensors

AR sensors are hardware components that collect data from the environment. They are a crucial part of the AR system as they provide the device with information about the user's interaction with the physical world.

The most commonly used sensors in AR devices are:
- Camera: It captures images and videos of the surroundings.
- Accelerometer: It measures the rate of change in velocity in three axes (x, y, and z).
- Gyroscope: It measures the device's rotational movements.
- GPS (Global Positioning System): It provides the device's location.

How AR sensors work

AR sensors work together to provide a seamless AR experience. The camera captures the real-world images, the accelerometer and gyroscope track the device's movements, and the GPS provides the location data. All these data are processed and used to overlay digital information onto the real-world view.

3. Code Examples

Here is a basic Python code snippet that uses the Accelerometer sensor data.

import sensor
sensor.set_accelerometer3D(True)

while True:
    x, y, z = sensor.get_accelerometer()
    print("x:", x, "y:", y, "z:", z)

This code first enables the accelerometer sensor. Then it enters a loop where it continuously reads and prints the accelerometer data, which represents the device's movement in the x, y, and z axes.

4. Summary

We have covered the basics of AR sensors, their types, and functions. We've also looked at how they work together to provide an immersive AR experience and how to use them in code.

The next step would be to explore more advanced topics, like using multiple sensors simultaneously and processing sensor data for different AR applications.

Additional Resources
- ARCore Overview
- ARKit Documentation

5. Practice Exercises

1. Exercise 1: Write a program that captures video from the camera and displays it in real-time.
2. Exercise 2: Write a program that uses GPS data to display the device’s current location.

Solutions
1. Solution 1: This is a simple program that captures video from the camera using OpenCV.
```python
import cv2

cap = cv2.VideoCapture(0) # 0 is the default camera

while True:
ret, frame = cap.read() # read a frame
cv2.imshow('Video', frame)

   if cv2.waitKey(1) & 0xFF == ord('q'):  # exit on 'q'
       break

cap.release()
cv2.destroyAllWindows()
2. **Solution 2**: This program uses the geocoder library to get the current location from the GPS data.python
import geocoder

g = geocoder.ip('me')
print(g.latlng)
```
Remember, practice is key to mastering any concept. Keep exploring and experimenting with different sensors and their applications.