Industry-track: Challenges in Rebooting Autonomy with Deep Learned Perception

Author:

Abraham Michael1,Mayne Aaron1,Perez Tristan1,De Oliveira Italo Romani1,Yu Huafeng1,Hsieh Chiao2,Li Yangge2,Sun Dawei2,Mitra Sayan2

Affiliation:

1. The Boeing Company,United States

2. University of Illinois at Urbana-Champaign,United States

Funder

Boeing

Publisher

IEEE

Reference36 articles.

1. Runtime Assurance for Autonomous Aerospace Systems

2. Enhancing The Reliability of Outof-distribution Image Detection in Neural Networks;liang;Proc 6th Int Conf Learning Representations (ICLR) OpenReview net,2018

3. Anomaly detection

4. Verifying controllers with vision-based perception using safe approximate abstractions;anonymous;Accepted by EMSoft 2022,2022

5. Interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems

Cited by 3 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. Assuring Safety of Vision-Based Swarm Formation Control;2024 American Control Conference (ACC);2024-07-10

2. Safety of the Stanley Controller with Curved Lanes and Noisy Perception;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Perception Contracts for Safety of ML-Enabled Systems;Proceedings of the ACM on Programming Languages;2023-10-16

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