This week my main two focuses were the quantitative aspects of the proposal presentation slides and the research behind the possible microcontrollers we could use. For the presentation, I mainly worked on the quantitative Use-Case Requirements, Solution Approach, and Metrics sections, researching what we should base values such as detection range on. For researching microcontrollers, I specifically did a comparison between Raspberry Pi 4, Raspberry Pi 5, NVIDIA Jetson ORIN Nano, NVIDIA Jetson ORIN Nano, NVIDIA Jetson XAVIER, NVIDIA Jetson Nano 4GB, and NVIDIA Jetson Nano 2GB to determine that the NVIDIA Jetson ORIN Nano is ideal for our project given our performance, weight, power supply, and power efficiency requirements. We then received this microcontroller from the inventory.
I am on schedule, since our main plan this week was to obtain the individual parts needed for our project.
In the next week I hope to discover how the data from the LiDAR camera is formatted and I hope to determine the libraries I will use to process and analyze the photo stream. I additionally plan to start researching existing object detection code and determining general pseudocode for my algorithm.