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Tiny Visual Engine

A part of Autonomous car powered by "Deep Reinforcement Learning Model" and the engine supported by YoLoP. The model trained in the simulated environment called Carla and tested in the real-time.

Hardware & Model Deployment

AI model dynamically quantized for INT8 and deployed onto NVIDIA's Jetson Nano version. Eventhough the visual preception subsystem can work on resource-constrained system, yet the DQL model's performance is not up to the level. Feel free to check out the demo for entire autonomous system.

Additional Information

The project is a part of undergrad program of Anna University, Chennai, India, and all rights reserved to the university

Citation

@article{bhavanisankari2023ai,
  title={Design and Training of AI Agent using Deep Q - Learning and Carla},
  author={Bhavanisankari, S. and William, V. and Sachin, A.},
  journal={International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET)},
  pages={74-81},
  year={2023}
}

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Tiny Inference Engine for Vision Neural Nets

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