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Linda Capito
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Experimental comparison of control strategies for trajectory tracking for mobile robots
L Capito, P Proaño, O Camacho, A Rosales, G Scaglia
International Journal of Automation and Control 10 (3), 308-327, 2016
362016
Integrating deep reinforcement learning with model-based path planners for automated driving
E Yurtsever, L Capito, K Redmill, U Ozguner
2020 IEEE Intelligent Vehicles Symposium (IV), 1311-1316, 2020
232020
Towards guaranteed safety assurance of automated driving systems with scenario sampling: An invariant set perspective
B Weng, L Capito, U Ozguner, K Redmill
IEEE Transactions on Intelligent Vehicles 7 (3), 638-651, 2021
202021
Optical flow based visual potential field for autonomous driving
L Capito, U Ozguner, K Redmill
2020 IEEE Intelligent Vehicles Symposium (IV), 885-891, 2020
202020
A dynamical sliding mode control approach for long deadtime systems
P Proaño, L Capito, A Rosales, O Camacho
2017 4th International Conference on Control, Decision and Information …, 2017
192017
Sliding mode control: Implementation like pid for trajectory-tracking for mobile robots
P Proaño, L Capito, A Rosales, O Camacho
2015 Asia-Pacific Conference on Computer Aided System Engineering, 220-225, 2015
132015
Seguimiento de trayectorias mediante cuatro técnicas de control utilizando una plataforma robótica pioneer 3DX y el sistema operativo robótico ROS
LJ Capito Ruiz, PA Proaño Chamorro
Quito, 2015., 2015
112015
A formal characterization of black-box system safety performance with scenario sampling
B Weng, L Capito, U Ozguner, K Redmill
IEEE Robotics and Automation Letters 7 (1), 199-206, 2021
92021
A modeled approach for online adversarial test of operational vehicle safety
L Capito, B Weng, U Ozguner, K Redmill
2021 American Control Conference (ACC), 398-404, 2021
92021
A finite-sampling, operational domain specific, and provably unbiased connected and automated vehicle safety metric
B Weng, L Capito, Ü Özgüner, K Redmill
IEEE Transactions on Intelligent Transportation Systems, 2022
82022
Methodology for hazard identification and mitigation strategies applied to an overtaking assistant ADAS
L Capito, KA Redmill
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
62021
Data-Driven Risk-Sensitive Control for Personalized Lane Change Maneuvers
N Bao, L Capito, D Yang, A Carballo, C Miyajima, K Takeda
IEEE Access 10, 36397-36415, 2022
52022
Model-Based Decomposition and Backtracking Framework for Probabilistic Risk Assessment in Automated Vehicle Systems
L Capito, K Redmill, U Ozguner
2021 International Topical Meeting on Probabilistic Safety Assessment and …, 2021
32021
5 Risk Analysis for Vehicle–Pedestrian Interaction with Extended Sensing
Z He, L Capito, K Redmill, F Özgüner, Ü Özgüner
Towards Human-Vehicle Harmonization 3, 65, 2023
22023
Optical flow-based artificial potential field generation for gradient tracking sliding mode control for autonomous vehicle navigation
LJ Capito Ruiz
The Ohio State University, 2019
12019
On the Validation of Adversarial Threats to Cooperative Unmanned Aerial Systems for Search and Rescue Missions
L Capitol, KA Redmill
2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-7, 2023
2023
Image Processing Approaches to Traffic Situation Understanding, Risk Assessment, and Safety
K Redmill, E Yurtsever, D Yang, L Capito, H Zhang, Ü Özgüner
2023
Image Processing Approaches to Traffic Situation Understanding, Risk Assessment, and Safety
D Yang, U Ozguner, K Redmill, E Yurtsever, L Capito, H Zhang
Mobility21 (UTC), 2023
2023
A model-based validation framework for safety evaluation of autonomous systems
L Capito, U Ozguner
TRB 2021 Annual Meeting Poster Presentation, 2021
2021
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Articles 1–19