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Probabilistically Guaranteeing End-to-end Latencies in Autonomous Vehicle Computing Systems

  • Published:2022 Issue: Volume: Page:1-1
  • ISSN:0018-9340
  • Container-title:IEEE Transactions on Computers
  • language:
  • Short-container-title:IEEE Trans. Comput.

Author:

Lee Hyoeun,Choi Youngjoon,Han Taeho,Kim Kanghee

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MOT-AS: Real-Time Scheduling Framework for Multi-Object Tracking Capturing Accuracy and Stability;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

2. Game-Based Adaptive FLOPs and Partition Point Decision Mechanism With Latency and Energy-Efficient Tradeoff for Edge Intelligence;IEEE Transactions on Computers;2024-04

3. ANEC: Adaptive Neural Ensemble Controller for Mitigating Latency Problems in Vision-Based Autonomous Driving;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Probabilistic Reaction Time Analysis;ACM Transactions on Embedded Computing Systems;2023-09-09

5. Minimizing Probabilistic End-to-end Latencies of Autonomous Driving Systems;2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS);2023-05
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