What did you personally accomplish this week on the project?
- This week, I collected a new dataset of 3600 samples (1800 with humans, 1800 without humans) which was used to train the neural network. Compared to the old dataset, the new dataset has doubled velocity resolution and halved range to 5 meters, which is advantageous for our use case since the data beyond 5 meters is superfluous and increases latency.
- I collected 600 samples of test data (300 with humans, 300 without humans) which is not used to train the neural network but to gauge its performance with data that was never used to train it.
- The above test data, along with the real-time data, is preprocessed as shown in the picture below:
- Ayesha and I wrote code to send radar, GPS, and IMU data from the Raspberry Pi through an http request.
Is your progress on schedule or behind? If you are behind, what actions will be
taken to catch up to the project schedule?
Progress is on schedule
What deliverables do you hope to complete in the next week?
- Work with Ayesha to write code to send temperature data
- 3D print the chassis to contain the system
- Collect metrics on latency for the integrated system
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