2019FallTeam2

Project Objective

Modify the Donkey Car framework and physical car to autonomously deliver personalized mail to multiple different destinations based on number. Ideally, the Donkey Car model will be trained to do autonomous laps while hugging the right side of the road. Upon recognizing a mailbox number using OpenCV computer vision, the car will stop, queue the right package to be delivered, push the package off the side of the vehicle and continue on to the next delivery.

Must have:

• Deliver personalized mail to or directly in front of all destinations
• Train the car to do laps in autonomous mode and then deliver mail when near a driveway by using its mechanical on board systems

Nice to have

• Have control over where mail gets delivered to each driveway
• Train the car to hug the right side of the road in autonomous mode

The Team

• Andrew Ma, MAE
• Bijan Ardalan, MAE
• Lucas Hwang, ECE

(Insert sexy team photo here)

Mechanical Design

Acrylic Mounting Plate

Camera Mount

We originally angled our camera down 60 degrees from the vertical in order to capture a large image of the ground and track lines. However, in order to capture the numbers for our package delivery on the side of the road, we decreased the angle to 30 degrees to capture more of the horizon.

Jetson Case

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Mail Delivery Mechanism

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Choosing The Motors

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Sign Design

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Software Design

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Software Overview

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Neural Network Training

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Number Recognition Methodology

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Number Recognition Code

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Breaking From Autonomous Mode

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Final Implementation In Donkey

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Lessons Learned

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Useful Knowledge

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Challenges and Solutions

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The Final Prototype

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Mail Delivery In Action

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Results

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Future Improvements

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References

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