In-Class Work (Week 2)

This week, the Road Watch Team had its first in-class work session. These are a new feature of IPPD 2 that were not offered in IPPD 1, as IPPD 2 focuses primarily on the practical realization of the system (which necessitates collaborative in-person work). It was very nice to have all team members physically together in one place, all working on different parts of the system. This provided a good opportunity to quickly exchange ideas between teammates and to catch up on everyone’s progress. Director Latorre indicated that these in-class work sessions would be a bi-weekly occurrence, which is greatly appreciated by the Road Watch Team. Currently, work is distributed between teammates as follows. Darrion is developing the LiDAR driver for the Jetson Nano. Evan is working on identifying predictive machine learning algorithms. Will is evaluating the camera throughput on the Jetson Nano. Rolando is identifying an IMU to assist in aligning the system. Skyler is designing the system enclosure. Finally, Billy is identifying power supplies for the system. Be sure to follow future posts to see how each group member progresses in their tasks.

An IMU, or Inertial Measurement Unit, is a device which is capable measuring motion within a moving frame. Though originally mechanical (think a spinning gyroscope), many modern IMUs are electrical in nature, and use MEMS (Micro-Electro-Mechanical Systems) to measure object motion. Frequently, IMUs report acceleration, rotation, and magnetic orientation (like a compass) in three dimensions, though this varies by IMU. The image above depicts the LSM6DSL (the chip with the green outline), an IMU which is capable of measuring acceleration and rotation in 3D. The axes of acceleration and rotation are shown above. The above PCB is a Robotics PCB which combines the IMU with a motor driver IC, and is part of the μPAD kit developed by Out of the Box for the EEL4744C course at UF.

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