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ORCIDLinda Capito
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2020 – today
- 2024
[i7]Linda Capito, Guillermo A. Castillo, Bowen Weng:
Repeatable and Reliable Efforts of Accelerated Risk Assessment. CoRR abs/2405.20013 (2024)- 2023
- [j5]Bowen Weng
, Linda Capito, Ümit Özgüner, Keith A. Redmill:
A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric. IEEE Trans. Intell. Transp. Syst. 24(6): 6650-6662 (2023) - 2022
- [j4]Naren Bao, Linda Capito, Dongfang Yang, Alexander Carballo, Chiyomi Miyajima, Kazuya Takeda:
Data-Driven Risk-Sensitive Control for Personalized Lane Change Maneuvers. IEEE Access 10: 36397-36415 (2022) - [j3]Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
A Formal Characterization of Black-Box System Safety Performance With Scenario Sampling. IEEE Robotics Autom. Lett. 7(1): 199-206 (2022) - [j2]Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
Towards Guaranteed Safety Assurance of Automated Driving Systems With Scenario Sampling: An Invariant Set Perspective. IEEE Trans. Intell. Veh. 7(3): 638-651 (2022) - 2021
- [c5]Linda Capito, Bowen Weng, Ümit Özgüner, Keith A. Redmill:
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety. ACC 2021: 398-404 - [c4]Linda Capito, Keith A. Redmill:
Methodology for Hazard Identification and Mitigation Strategies Applied to an Overtaking Assistant ADAS. ITSC 2021: 3972-3977 - [i6]Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version). CoRR abs/2104.09595 (2021) - [i5]Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
A Formal Characterization of Black-Box System Safety Performance with Scenario Sampling. CoRR abs/2110.02331 (2021) - [i4]Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric. CoRR abs/2111.07769 (2021) - 2020
- [c3]Linda Capito, Ümit Özgüner, Keith A. Redmill:
Optical Flow based Visual Potential Field for Autonomous Driving. IV 2020: 885-891 - [c2]Ekim Yurtsever, Linda Capito, Keith A. Redmill, Ümit Özgüner:
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving. IV 2020: 1311-1316 - [i3]Ekim Yurtsever, Linda Capito, Keith A. Redmill, Ümit Özgüner:
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving. CoRR abs/2002.00434 (2020) - [i2]Linda Capito, Keith A. Redmill, Ümit Özgüner:
Optical Flow based Visual Potential Field for Autonomous Driving. CoRR abs/2006.00168 (2020) - [i1]Linda Capito, Bowen Weng, Ümit Özgüner, Keith A. Redmill:
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety. CoRR abs/2009.12222 (2020)
2010 – 2019
- 2017
- [c1]Pablo Proaño, Linda Capito, Andrés Rosales, Oscar Camacho:
A dynamical sliding mode control approach for long deadtime systems. CoDIT 2017: 108-113 - 2016
- [j1]Linda Capito, Pablo Proaño, Oscar Camacho, Andrés Rosales, Gustavo Scaglia:
Experimental comparison of control strategies for trajectory tracking for mobile robots. Int. J. Autom. Control. 10(3): 308-327 (2016)
Coauthor Index
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last updated on 2024-06-25 21:52 CEST by the dblp team
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