Sensor fusion projects

1. What is sensor fusion used for?
2. What are the types of sensor fusion strategies?
3. What is sensor fusion algorithms?
4. What is a sensor fusion engineer?

What is sensor fusion used for?

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.

What are the types of sensor fusion strategies?

With respect to the abstraction level of data processing, Multi-sensor fusion has been classified into three categories [6,18]: fusion at the data-level, fusion at the feature-level, and fusion at the decision-level.

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 a sensor fusion engineer?

Sensor fusion engineering is one of the most important and exciting areas of robotics. Sensors like cameras, radar, and lidar help self-driving cars, drones, and all types of robots perceive their environment. Analyzing and fusing this data is fundamental to building an autonomous system.