Kalman filter sensor fusion code

1. Is Kalman filter used for sensor fusion?
2. How is sensor fusion done?
3. What is sensor fusion algorithms?
4. What is sensor fusion software?

Is Kalman filter used for sensor fusion?

In this series, I will try to explain Kalman filter algorithm along with an implementation example of tracking a vehicle with help of multiple sensor inputs, often termed as Sensor Fusion. Kalman filter in its most basic form consists of 3 steps.

How is sensor fusion done?

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 is sensor fusion algorithms?

What are Sensor Fusion Algorithms? Sensor fusion algorithms combine sensory data that, when properly synthesized, help reduce uncertainty in machine perception. They take on the task of combining data from multiple sensors — each with unique pros and cons — to determine the most accurate positions of objects.

What is sensor fusion software?

The sensor fusion software BSX provides orientation information in form of quaternion or Euler angles. The algorithm fuses the sensor raw data from 3-axis accelerometer, 3-axis geomagnetic sensor and 3-axis gyroscope in an intelligent way to improve each sensor's output.