Arturo Tejada Ruiz
Department / Institute
Group
RESEARCH PROFILE
Arturo Tejada is Part-time Assistant Professor of Safe Autonomous and Cooperative Vehicles at the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). His work focuses on "teaching" self-driving vehicles how to safely and socially interact with human drivers. This is done by developing reference models of human driving from which design requirements for automated driving functions can be can be extracted and demonstrated. His work sits at the intersection of human factors, artificial intelligence and motion control of automated vehicles.
Driving is a form of social interation mediated by technology (i.e., our vehicles). Consequently, self-driving vehicles need to be socialized, the same way we socialize our dogs: we need to teach them how to behave, so that they can interact with us as we expect.
ACADEMIC BACKGROUND
Arturo Tejada holds Bachelor degree in Electrical Engineering from the Pontificia Universidad Católica del Perú and MSc. and Ph. D. degrees in Electrical Engineering from Old Dominion University in Norfolk, Virginia (2006), where he specialized in hybrid system theory. He is the author of over 40 scientific publications in top peer-reviewed conferences and journals. In addition to his role as Assistant Professor, he is also a Senior Scientist at the Integrated Vehicle Safety department of TNO, where he supports OEMs and regulators in certifying and monitoring the safe behavior of automated vehicles in traffic.
Recent Publications
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Leon Tolksdorf,Arturo Tejada,Nathan van de Wouw,Christian Birkner
Risk in Stochastic and Robust Model Predictive Path-Following Control for Vehicular Motion Planning
(2023) -
Erwin de Gelder,Kingsley Adjenughwure,Jeroen Manders,Ron Snijders,Jan-Pieter Paardekooper,Olaf op den Camp,Arturo Tejada,Bart de Schutter
PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation
arXiv (2023) -
Leon Tolksdorf,Arturo Tejada Ruiz,Christian Birkner,Nathan van de Wouw
Risk in Stochastic and Robust Model Predictive Path-Following Control for Vehicular Motion Planning
(2023) -
Arturo Tejada,Jeroen Manders,Ron Snijders,Jan-Pieter Paardekooper,Stefanie de Hair-Buijssen
Towards a Characterization of Safe Driving Behavior for Automated Vehicles Based on Models of "Typical" Human Driving Behavior
(2020) -
H.H.W.J. Bosman,G. Iacca,Arturo Tejada Ruiz,H.J. Wörtche,A. Liotta
Spatial anomaly detection in sensor networks using neighborhood information
Information Fusion (2017)
Ancillary Activities
No ancillary activities