Search Results for author: David Fernández-Llorca

Found 4 papers, 1 papers with code

Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles

no code implementations6 Aug 2024 Sergio Martín Serrano, Óscar Méndez Blanco, Stewart Worrall, Miguel Ángel Sotelo, David Fernández-Llorca

Understanding cultural backgrounds is crucial for the seamless integration of autonomous driving into daily life as it ensures that systems are attuned to diverse societal norms and behaviours, enhancing acceptance and safety in varied cultural contexts.

Autonomous Driving

Use case cards: a use case reporting framework inspired by the European AI Act

1 code implementation23 Jun 2023 Isabelle Hupont, David Fernández-Llorca, Sandra Baldassarri, Emilia Gómez

"Use case cards" allows framing and contextualising use cases in an effective way, and we hope this methodology can be a useful tool for policy makers and providers for documenting use cases, assessing the risk level, adapting the different requirements and building a catalogue of existing usages of AI.

Video action recognition for lane-change classification and prediction of surrounding vehicles

no code implementations13 Jan 2021 Mahdi Biparva, David Fernández-Llorca, Rubén Izquierdo-Gonzalo, John K. Tsotsos

Up to four different two-stream-based approaches, that have been successfully applied to address human action recognition, are adapted here by stacking visual cues from forward-looking video cameras to recognize and anticipate lane-changes of target vehicles.

Action Recognition Autonomous Vehicles +2

Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles

no code implementations25 Aug 2020 David Fernández-Llorca, Mahdi Biparva, Rubén Izquierdo-Gonzalo, John K. Tsotsos

Different sizes of the regions around the vehicles are analyzed, evaluating the importance of the interaction between vehicles and the context information in the performance.

Action Recognition Prediction +2

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