Emilia Silvas

Orcid: 0000-0002-3038-7053

According to our database1, Emilia Silvas authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Overcoming Fear of the Unknown: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields.
IEEE Trans. Intell. Transp. Syst., September, 2024

The Safety Shell: An Architecture to Handle Functional Insufficiencies in Automated Driving.
IEEE Trans. Intell. Transp. Syst., July, 2024

LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration.
CoRR, 2024

SDS++: Online Situation-Aware Drivable Space Estimation for Automated Driving.
CoRR, 2024

Characterization and Mitigation of Insufficiencies in Automated Driving Systems.
CoRR, 2024

Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Evaluation of the Safety Shell Architecture for Automated Driving in a Realistic Simulator.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
The Safety Shell: an Architecture to Handle Functional Insufficiencies in Automated Driving.
CoRR, 2023

Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields.
CoRR, 2023

Robustness Benchmark of Road User Trajectory Prediction Models for Automated Driving.
CoRR, 2023

Effects of Using Motion Predictions in Automated Driving in Highway Lane Merging.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Situation-Aware Drivable Space Estimation for Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Real-Time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems.
IEEE Control. Syst. Lett., 2022

Evaluating the Quality of Lane Change Event Detection: Effect of Situational Variables.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Informed sampling-based trajectory planner for automated driving in dynamic urban environments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Scenario-based Evaluation of Prediction Models for Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Long Horizon Risk-Averse Motion Planning: A Model-Predictive Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Detection and Mitigation of Functional Insufficiencies in Autonomous Vehicles: The Safety Shell.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Anomaly Detection from Cyber Threats via Infrastructure to Automated Vehicle.
Proceedings of the 2021 European Control Conference, 2021

2020
Collision-Free Trajectory Planning With Deadlock Prevention: An Adaptive Virtual Target Approach.
IEEE Access, 2020

A Hybrid Framework Combining Vehicle System Knowledge with Machine Learning Methods for Improved Highway Trajectory Prediction.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2017
Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2017

Robust model predictive cooperative adaptive cruise control subject to V2V impairments.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Synthesis of Realistic Driving Cycles With High Accuracy and Computational Speed, Including Slope Information.
IEEE Trans. Veh. Technol., 2016


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