Sensor fusion for dummies

1. How does sensor fusion work?
2. How to do sensor fusion?
3. What is the need for sensor fusion?
4. What is sensor fusion in automotive?

How does sensor fusion work?

Sensor fusion is the process of merging data from multiple sensors such that to reduce the amount of uncertainty that may be involved in a robot navigation motion or task performing. Sensor fusion helps in building a more accurate world model in order for the robot to navigate and behave more successfully.

How to do sensor fusion?

More precisely, sensor fusion can be performed fusing raw data coming from different sources, extrapolated features or even decision made by single nodes. Data level - data level (or early) fusion aims to fuse raw data from multiple sources and represent the fusion technique at the lowest level of abstraction.

What is the need for sensor fusion?

Essentially, sensor fusion aims to overcome the limitations of individual sensors by gathering and fusing data from multiple sensors to produce more reliable information with less uncertainty. This more robust information can then be used to make decisions or take certain actions.

What is sensor fusion in automotive?

Sensor fusion is the process of collectively taking inputs from RADAR, LiDAR, camera, and ultrasonic sensors to interpret environmental conditions for detection certainty.