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The Sensor Modules of a Dedicated Automatic Inspection System for Screening Smoked Sausage Coloration. [PDF]

Sensors (Basel)
Wang YH, Yen YF, Lee KC, Chang CY, Wu CC, Tsai MJ, Chieh JJ.   +6 more
europepmc   +1 more source

Artificial Intelligence-Based Depression Detection. [PDF]

Sensors (Basel)
Kiss G, Viktor P.
europepmc   +1 more source

Bio-Inspired Reactive Approaches for Automated Guided Vehicle Path Planning: A Review. [PDF]

Biomimetics (Basel)
Lin S, Wang J, Kong X.
europepmc   +1 more source

A generative AI cybersecurity risks mitigation model for code generation: using ANN-ISM hybrid approach. [PDF]

Sci Rep
Al-Hashimi HA.
europepmc   +1 more source

Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis. [PDF]

Hum Factors
Vasta N, Biondi F.
europepmc   +1 more source

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The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

IEEE Transactions on Intelligent Vehicles, 2023
Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comfortable, and efficient motion trajectory.
Steffen Hagedorn, Marcel Hallgarten, M. Stoll, A. Condurache   +3 more
semanticscholar   +1 more source

Operational Design Domain for Automated Driving Systems: Taxonomy Definition and Application

2023 IEEE Intelligent Vehicles Symposium (IV), 2023
To allow the large-scale deployment of automated and connected vehicles, their safety must be ensured. The Operational Design Domain (ODD) aims to define under which conditions an Automated Driving System (ADS) can operate safely: speed, type of road ...
Léo Mendiboure, M. Benzagouta, D. Gruyer, Tidiane Sylla, Morayo Adedjouma, Abdelmename Hedhli   +5 more
semanticscholar   +1 more source

Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems

IEEE transactions on intelligent transportation systems (Print), 2022
Driver’s under-arousal occurred in automated driving systems (ADS) impairs takeover safety. This study aims to determine electrodermal activity (EDA) features’ importance for driver’s arousal quantification.
Penghui Li, Yibing Li, Yao Yao, Changxu Wu, Bingbing Nie, S. Li   +5 more
semanticscholar   +1 more source