Daniel Omeiza
Orcid: 0000-0002-3844-5131
According to our database1,
Daniel Omeiza
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers.
CoRR, 2024
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving.
CoRR, 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.
CoRR, 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning.
Proceedings of the Robotics: Science and Systems XX, 2024
2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022
2021
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.
CoRR, 2021
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.
Proceedings of the Seventeenth Symposium on Usable Privacy and Security, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impacts, 2021
2019
CoRR, 2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.
CoRR, 2019
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa.
CoRR, 2019
2018
Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal.
CoRR, 2018