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SciProfiles: 2520989

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Employment (2)

Austrian Institute of Technology: Vienna, AT

2024-05-01 to present | AI Scientist (Transport Infrastructure Technologies (TIT))
Employment
Source: Self-asserted source
Ángel Losada Arias

Instituto Universitario de Investigación del Automóvil: Madrid, Comunidad de Madrid, ES

2020-10-01 to 2024-04-30 | Machine Learning and Artificial Intelligence Engineer | Team Leader (Accidentology)
Employment
Source: Self-asserted source
Ángel Losada Arias

Education and qualifications (4)

Universidad Politécnica de Madrid: Madrid, ES

2020-11 to 2024-04 | International PhD in Mechanical Engineering
Education
Source: Self-asserted source
Ángel Losada Arias

Politecnico di Milano: Milan, IT

2019-09 to 2020-07 | Laurea Magistrale in Ingegneria Meccanica (Erasmus+)
Education
Source: Self-asserted source
Ángel Losada Arias

Universidad Politecnica de Madrid Escuela Técnica Superior de Ingeniería Civil: Madrid, Comunidad de Madrid, ES

2018-09 to 2020-07 | Master in Industrial Engineering
Education
Source: Self-asserted source
Ángel Losada Arias

Universidad Politécnica de Madrid: Madrid, Comunidad de Madrid, ES

2014-09 to 2018-06 | Bachelor in Industrial Technologies Engineering
Education
Source: Self-asserted source
Ángel Losada Arias

Works (6)

Vehicle-to-Cyclist Collision Prediction Models by Applying Machine Learning Techniques to Virtual Reality Bicycle Simulator Data

Applied Sciences
2024-04-24 | Journal article
DOI: 10.3390/app14093570
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano; Nuria Sánchez; Miguel Hidalgo
Source: check_circle
Crossref
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Caracterización del comportamiento de los usuarios vulnerables de la vía mediante técnicas de Realidad Virtual y modelos de Machine Learning

2024-04-05 | Dissertation or Thesis
DOI: 10.20868/UPM.thesis.81442
Source: check_circle
Crossref

Effectiveness of the Autonomous Braking and Evasive Steering System OPREVU-AES in Simulated Vehicle-to-Pedestrian Collisions

Vehicles
2023-11-02 | Journal article
DOI: 10.3390/vehicles5040084
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano
Source: check_circle
Crossref
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Design of a facial and ocular recognition system for pedestrian identification to optimize an AEB system

FISITA World Congress 2023 - Technical Programme
2023-09-12 | Conference paper
Contributors: Ángel Losada Arias
Source: Self-asserted source
Ángel Losada Arias

Application of Machine Learning Techniques for Predicting Potential Vehicle-to-Pedestrian Collisions in Virtual Reality Scenarios

Applied Sciences
2022-11-09 | Journal article
DOI: 10.3390/app122211364
Contributors: Ángel Losada; Francisco Javier Páez; Francisco Luque; Luca Piovano
Source: check_circle
Crossref
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Improvement of the AEB activation algorithm based on the pedestrian reaction

FISITA World Congress 2021 - Technical Programme
2021-09-30 | Conference paper
DOI: 10.46720/f2021-pif-073
Contributors: Ángel Losada Arias
Source: Self-asserted source
Ángel Losada Arias
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