What is IMU sensor used for?
The IMU sensor is an electronic device used to calculate and reports an exact force of body, angular rate as well as the direction of the body, which can be achieved by using a blend of 3 sensors like Gyroscope, Magnetometer, and Accelerometer.
What is sensor fusion used for?
Sensor fusion is the ability to bring together inputs from multiple radars, lidars and cameras to form a single model or image of the environment around a vehicle. The resulting model is more accurate because it balances the strengths of the different sensors.
What are the types of sensor fusion strategies?
Examples of sensors
- Accelerometers.
- Electronic Support Measures (ESM)
- Flash LIDAR.
- Global Positioning System (GPS)
- Infrared / thermal imaging camera.
- Magnetic sensors.
- MEMS.
- Phased array.
What is sensor fusion in autonomous vehicles?
Sensor Fusion improves the overall performance capability of an Autonomous Vehicle, and there are multiple fusion techniques and which one to use depends on the feature’s Operation Design Domain (ODD). Some examples for the different types of fusion techniques are mentioned in the original article.
What kind of sensors are in an IMU?
An IMU is often a package of multiple sensors: accelerometer, gyroscope and magnetometer. For now, I’m going to ditch the magnetometer and focus on the first two. These are sensors that provide a measure of your angular speed. In other words, it will give us the “degrees/second” or d(angle) dt d ( a n g l e) d t.
Which is sensor fusion algorithm does Bosch use?
It features Bosch’s BNO055 IMU which includes a sensor fusion algorithm on the chip itself. Simply pull angles off the I2C bus and you’ll be good to go!
Why do we need an accelerometer for IMU?
By nature, gyroscopes are nice and steady over short periods of time, but they are quite susceptible to drift (over a long period of time, you’ll see the angles change even if the IMU is perfectly still). This is why we also need an accelerometer.
How are gyroscope and accelerometer used in sensor fusion?
The core idea is that we use the gyroscope as our main underlying signal, then use a certain percentage of the accelerometer to compensate for any drift of the gyro sensor. Ultimately, we are using the strengths of both sensors to complement each other. I recently got my hands on one of these breakout boards.