The Vulnerability-Adaptive Protection Paradigm

Author:

Wan Zishen1ORCID,Gan Yiming2ORCID,Yu Bo3ORCID,Liu Shaoshan3ORCID,Raychowdhury Arijit1ORCID,Zhu Yuhao2ORCID

Affiliation:

1. Georgia Institute of Technology, Electrical and Computer Engineering, Atlanta, Georgia, United States

2. University of Rochester, Computer Science, Rochester, New York, United States

3. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

Abstract

Dek: Moving toward reliable autonomous machines.

Publisher

Association for Computing Machinery (ACM)

Reference40 articles.

1. Bannon, P., Venkataramanan, G., Sarma, D.D., and Talpes, E. Computer and redundancy solution for the full self-driving computer. In Proceedings of the 2019 IEEE Hot Chips 31 Symp. IEEE Computer Society, 1–22.

2. Bloesch, M., Omari, S., Hutter, M., and Siegwart, R. Robust visual inertial odometry using a direct ekf-based approach. In Proceedings of the 2015 IEEE/RSJ Intern. Conf. on Intelligent Robots and Systems. IEEE, 298–304.

3. Boroujerdian, B. et al. Mavbench: Micro aerial vehicle benchmarking. In Proceedings of the 2018 51st Annual IEEE/ACM Intern. Symp. on Microarchitecture. IEEE, 894–907.

4. Bourge, A., Muller, O., and Rousseau, F. Automatic high-level hardware checkpoint selection for reconfigurable systems. In Proceedings of the 2015 IEEE 23rd Annual Intern. Symp. on Field-Programmable Custom Computing Machines. IEEE, 155–158.

5. Cenkeramaddi, L.R. et al. A survey on sensors for autonomous systems. In Proceedings of the 2020 15th IEEE Conf. on Industrial Electronics and Applications (ICIEA). IEEE, 1182–1187.

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