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This project focuses on the implementation of optimized Linear and DNN regression models for inter-vehicle distance prediction in a Cooperative Adaptive Cruise Control (CACC) application. It leverages Tensorflow Lite to create optimized models through quantization and pruning for realtime inferencing on Raspberry Pi and On-board Unit (OBU) of Connected Autonomous Vehicles.

Jupyter Notebook 97.70% Python 2.30%
embedded-ai tiny-ml tensorflowlite raspberry-pi

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