CITATION.bib

@misc{anand2026rl_adaptive_compression,
  author       = {Anand, Manveer},
  title        = {Reinforcement Learning-Based Adaptive Video Compression for Autonomous Driving: Safety-Aware Compression for Traffic Sign Detection on Edge Devices},
  year         = {2026},
  publisher    = {GitHub},
  journal      = {GitHub repository},
  howpublished = {\url{https://github.com/ManveerAnand/Adaptive_video_compression}},
  note         = {CS307 - Advanced Topics in Computer Vision},
  keywords     = {Reinforcement Learning, Video Compression, Autonomous Driving, Traffic Sign Detection, Edge Computing, Deep Q-Network, Snapshot Compressive Imaging}
}

@article{cure_tsd_dataset,
  title   = {CURE-TSD: Challenging unreal and real environment traffic sign detection},
  author  = {Temel, Sinem and Kwon, Ghassan and Prabhushankar, Mohit and AlRegib, Ghassan},
  journal = {arXiv preprint arXiv:1712.02463},
  year    = {2017},
  url     = {https://github.com/olivesgatech/CURE-TSD}
}

@article{yolov8,
  title     = {Ultralytics YOLOv8},
  author    = {Jocher, Glenn and Chaurasia, Ayush and Qiu, Jing},
  journal   = {GitHub repository},
  year      = {2023},
  publisher = {Ultralytics},
  url       = {https://github.com/ultralytics/ultralytics}
}

@article{dqn,
  title     = {Human-level control through deep reinforcement learning},
  author    = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu, Andrei A and Veness, Joel and Bellemare, Marc G and Graves, Alex and Riedmiller, Martin and Fidjeland, Andreas K and Ostrovski, Georg and others},
  journal   = {Nature},
  volume    = {518},
  number    = {7540},
  pages     = {529--533},
  year      = {2015},
  publisher = {Nature Publishing Group}
}

@inproceedings{sci_imaging,
  title        = {Generalized alternating projection based total variation minimization for compressive sensing},
  author       = {Yuan, Xin and Liu, Yang and Suo, Jinli and Dai, Qionghai},
  booktitle    = {2016 IEEE International Conference on Image Processing (ICIP)},
  pages        = {2539--2543},
  year         = {2016},
  organization = {IEEE}
}