Siddartha Khastgir
Orcid: 0000-0002-6476-2536Affiliations:
- University of Warwick, Coventry, UK
According to our database1,
Siddartha Khastgir
authored at least 32 papers
between 2015 and 2024.
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Bibliography
2024
IEEE Access, 2024
IEEE Access, 2024
An Analysis on the Minimum Communication Distance for Safe Connected Brakes in Rural LOS Scenarios under IEEE 802.11p.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Exploring Realism in Virtual Testing: Towards a Scalable Platform Using Open-Source Solutions for Automated Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain.
CoRR, 2023
Operational Design Domain-Driven Coverage for the Safety Argumentation of Automated Vehicles.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Structured Natural Language for expressing Rules of the Road for Automated Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Identification of Traffic Accident Patterns via Cluster Analysis and Test Scenario Development for Autonomous Vehicles.
IEEE Access, 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Validating Simulation Environments for Automated Driving Systems Using 3D Object Comparison Metric.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Vehicle-to-Everything (V2X) in Scenarios: Extending Scenario Description Language for Connected Vehicle Scenario Descriptions<sup>*</sup>.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
Reliab. Eng. Syst. Saf., 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Test Framework for Automatic Test Case Generation and Execution Aimed at Developing Trustworthy AVs from Both Verifiability and Certifiability Aspects.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Scenario Description Language for Automated Driving Systems: A Two Level Abstraction Approach.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Identifying Accident Causes of Driver-Vehicle Interactions Using System Theoretic Process Analysis (STPA).
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2017
Why functional safety experts worry about automotive systems having increasing autonomy.
Proceedings of the 2017 IEEE SmartWorld, 2017
Introducing ASIL inspired dynamic tactical safety decision framework for automated vehicles.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
2015
Development of a Drive-in Driver-in-the-Loop Fully Immersive Driving Simulator for Virtual Validation of Automotive Systems.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015
Identifying a gap in existing validation methodologies for intelligent automotive systems: Introducing the 3xD simulator.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015