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The python files are designed to be run on a raspberrypi and send wheel rotationtelemetry to the AWS IoT Service. The DonkeyDashboard is a static website.

License: Apache License 2.0

Python 8.52% HTML 0.87% JavaScript 19.97% CSS 33.35% Shell 0.47% Jupyter Notebook 36.47% Dockerfile 0.36%

robocarrally's Introduction

Robocar Rally

The two python files are designed to be run on a raspberrypi and send wheel rotationtelemetry to the AWS IoT Service. Create a wheelsensor.py for each wheel that you want to measure. The AWSAutonomousVehicleIOT.py references each of these wheel sensors.

The Donkey Dashboard is a static website that can run on S3. It uses anonomous connectivity to the AWS IoT service using AWS Cognito Identity Pools.

Modify the scripts/main.js and change the IOTENDPOINT to your AWS IoT endpoint. Change the COGNITO_IDENTITY_POOL to your Cognito Identify Pool.

Modify the TOPIC to reflect your AWS IoT Topic.

IAM Policy can be used for training a model using Amazon SageMaker using training data on S3. This allows a docker container to be from Amazon ECR to train the model.

License

This library is licensed under the Apache 2.0 License.

robocarrally's People

Contributors

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