Read and review sections 1 and 2 only of the case study presented in this book chapter [1] (summary figure below).

[1] Wang, A.(2024) Manufacturing Data Fusion: A Case Study with Steel Rolling Processes. in Multimodal and Tensor Data Analytics for Industrial Systems Improvement. Springer.

Which of the following is the process they describe an example of? 

Using conformal tactile textiles*, it is possible to get a dense, wearable 2D map of pressure on the foot (pictured above - yellow = unloaded, blue = loaded). What two-dimensional DSP tool might you use to analyse these data and detect whether a person pronates or supinates?

*https://www.nature.com/articles/s41928-021-00558-0

What is the role of the lens on a PIR (passive infrared) sensor? 

(Figure: Example PIR sensor)

Read and review sections 1 and 2 only of the case study presented in this book chapter [1] (summary figure below).

[1] Wang, A.(2024) Manufacturing Data Fusion: A Case Study with Steel Rolling Processes. in Multimodal and Tensor Data Analytics for Industrial Systems Improvement. Springer.

Which of the following is the process they describe an example of? 

Which data fusion architecture involves significant local processing at each sensor before sending high-level outputs like object classifications or tracks to a central fusion processor?

An autonomous vehicle operates in a busy urban environment, navigating among moving cars, cyclists, and pedestrians. It uses radar, lidar, and camera sensors to gather raw positional and visual data in real time. The system requires highly accurate tracking of nearby objects and must account for the fact that sensor observations may not be independent, as several sensors observe the same object from different perspectives.

Which sensor fusion architecture is most appropriate for this scenario, and why?

You’re evaluating a pair of sensors for use in a new data fusion system. You perform experiments and build a joint probability distribution of their outputs under various known conditions. You observe strong dependencies between the sensors’ outputs, even when the true state of the environment is controlled and known. Based on this insight, which of the following is the most appropriate recommendation, and why?

Your colleague submits a report with a the joint probability distribution they have measured as follows: I took 100 independent readings of a single ground-truth standard using Sensor A and Sensor B. I’ve used a heat map (pcolormesh) to visualise the joint histogram in 2D. They want your feedback.

You respond with:

In Time-Division Hardware Multiplexing (TDM), how do multiple sensor outputs access shared processing components?

In a multiplexed sensor system, what is the term for the unwanted interference that occurs when unselected sensor lines influence the shared signal path due to capacitive or inductive coupling?