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Safety of the Intended Driving Behavior Using Rulebooks.

, , , и . CoRR, (2021)

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Autonomous driving systems hardware and software architecture exploration: optimizing latency and cost under safety constraints., , , , , и . Syst. Eng., 23 (3): 327-337 (2020)The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior., , , , , , , , , и . IROS, стр. 6708-6715. IEEE, (2021)Rule-based optimal control for autonomous driving., , , , , , и . ICCPS, стр. 143-154. ACM, (2021)SLAM-Based Performance Quantification of Sensing Architectures for Autonomous Vehicles., и . ICVES, стр. 1-6. IEEE, (2018)Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization., , и . ITSC, стр. 530-537. IEEE, (2021)Safety of the Intended Driving Behavior Using Rulebooks., , , и . IV, стр. 136-143. IEEE, (2020)Safety of the Intended Driving Behavior Using Rulebooks., , , и . CoRR, (2021)A Multiobjective Systems Architecture Model for Sensor Selection in Autonomous Vehicle Navigation., , , , , и . CSDM, стр. 141-152. Springer, (2019)Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise., и . ICPR, стр. 7915-7922. IEEE, (2020)Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection., , , и . ESANN, (2023)