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Weelie’s Status Report for 02/10/2024

On the proposal, we got a lot of suggestions for our projects. For indoor positioning and navigation, there are a lot of possible solutions and combination of devices. To figure out what combinations fit us most, I researched on the algorithms that can achieve our goal. I mainly read through algorithm papers to prepare for our final decision. I will attach the interesting ones for us.

https://ieeexplore.ieee.org/document/7275538

https://ieeexplore.ieee.org/document/8559721

https://ieeexplore.ieee.org/document/7346754

https://ieeexplore.ieee.org/document/9874146

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610672/

https://link.springer.com/chapter/10.1007/978-3-031-26712-3_6

https://ieeexplore.ieee.org/document/9708854

https://www.mdpi.com/1424-8220/21/4/1114

https://wiki.makerfabs.com/ESP32_UWB.html

Based on the gantt chart, this week is on schedule for me. Since we havn’t get our devices yet, I couldn’t do more than rearch on the algorithms.

Now we have decided to use ESP32_UWB or Computer Vision approach for our projects. For the next week, after we bought all the widgets, I will work on set up these things. If we couldn’t get these devices, I will work on doing more research on UWB and CV indoor navigation.

 

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Introduction and Project Summary

Have you ever gotten lost trying to find a classroom in a building at CMU? Rhetorical questions aside, we wish to create an application and device to aid students in easily finding their classes. Our goal is for our device to use indoor localization to accurately provide the location of the student’s location from within a building. We wish to create a portable, lightweight device the student can easily carry around. Furthermore, we will create a responsive webapp user interface that displays instructions of the best path the student should take to their desired location. Ultimately, we would like Scotty Maps to be a tool for students to save time and learn how to navigate the buildings on campus.