MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles

Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks 0001, Gu-Yeon Wei, Vijay Janapa Reddi. MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. In Design, Automation & Test in Europe Conference & Exhibition, DATE 2023, Antwerp, Belgium, April 17-19, 2023. pages 1-6, IEEE, 2023. [doi]

@inproceedings{HsiaoWJGMRBWR23,
  title = {MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles},
  author = {Yu-Shun Hsiao and Zishen Wan and Tianyu Jia and Radhika Ghosal and Abdulrahman Mahmoud and Arijit Raychowdhury and David Brooks 0001 and Gu-Yeon Wei and Vijay Janapa Reddi},
  year = {2023},
  doi = {10.23919/DATE56975.2023.10137246},
  url = {https://doi.org/10.23919/DATE56975.2023.10137246},
  researchr = {https://researchr.org/publication/HsiaoWJGMRBWR23},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {Design, Automation & Test in Europe Conference & Exhibition, DATE 2023, Antwerp, Belgium, April 17-19, 2023},
  publisher = {IEEE},
  isbn = {978-3-9819263-7-8},
}