Sensor Fusion is the process of combining input from various sensors in order to lower the level of uncertainty that can be present when a robot performs a navigational motion or a task. In order for the robot to navigate and behave more successfully, sensor fusion aids in creating a world model that is more realistic.
The following are the three main strategies for merging sensor data:
· Redundant Sensors: The same data is provided by all sensors for the entire world.
· Complementary Sensors: Different (disjoint) sorts of information about the world are provided by the sensors.
· Coordinated Sensors: The sensors sequentially gather data about the environment.
Read More- https://cmiblogdailydose.blogspot.com/2022/12/using-sensor-fusion-allow-company-to.html
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