Difference between revisions of "2019FallTeam8"

From MAE/ECE 148 - Introduction to Autonomous Vehicles
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== Software ==
== Software ==
For the object recognition, we implemented a YOLO algorithm trained using the COCO dataset which classifies 80 different classes of objects.
For object recognition, we implemented a YOLO algorithm trained using the COCO dataset which classifies 80 different classes of objects.


== Conclusion ==
== Conclusion ==

Revision as of 03:12, 27 November 2019

Team Members

Fall 2018

  • Lovpreet Hansra, Computer Science BS
  • Adam Porter, Electrical Engineering BS
  • Luan Nguyen, Aerospace Engineering BS

Project Links

The Idea

Our goal was to provide our car with particular GPS coordinates, have the car navigate to the destination coordinates by using the magnetometer within the IMU, and then search for a particular object within a given radius. We plan to utilize computer vision to distinguish between objects and find the desired one while the car circumnavigates the area.

Hardware

Devices

Wiring

Software

For object recognition, we implemented a YOLO algorithm trained using the COCO dataset which classifies 80 different classes of objects.

Conclusion

Possible Improvements

Resources