Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection [PDF]
Sensors, 2014 This paper presents a non-intrusive approach for monitoring driver drowsiness using the fusion of several optimized indicators based on driver physical and driving performance measures, obtained from ADAS (Advanced Driver Assistant Systems) in simulated ...
Iván G. Daza +5 more
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“Cyclist at 12 o’clock!”: a systematic review of in-vehicle advanced driver assistance systems (ADAS) for preventing car-rider crashes [PDF]
Frontiers in Public HealthIntroductionWhile Advanced Driver Assistance Systems (ADAS) have become a prominent topic in road safety research, there has been relatively little discussion about their effectiveness in preventing car collisions involving specific vulnerable road users,
Sergio A. Useche +2 more
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Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS) [PDF]
IEEE Access, 2021 AI-based smart thermal perception systems can cater to the limitations of conventional imaging sensors by providing a more reliable data source in low-lighting conditions and adverse weather conditions.
Muhammad Ali Farooq +3 more
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Dataset of physiological signals in the use of advanced driver assistance systems (ADAS)Mendeley Data [PDF]
Data in BriefThis article introduces a dataset that investigates the physiological responses of drivers when using advanced driver assistance systems (ADAS) in real-world traffic conditions. The study, conducted in the Federal District, Brazil, involved seven drivers
Gabriel Martins de Castro +3 more
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Stated Preferences of European Drivers regarding Advanced Driver Assistance Systems (ADAS)
European Journal of Transport and Infrastructure Research, 2001 The introduction of electronic Advanced Driver Assistance Systems (ADAS) in road vehicles is expected to improve traffic efficiency and safety significantly. As such, public policy makers are increasingly interested in the implementation possibilities of
Vincent Marchau +3 more
doaj +6 more sources
Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study [PDF]
SensorsIdentifying the activation status of advanced driver assistance systems (ADAS) in real-world driving environments is crucial for safety, responsibility attribution, and accident forensics.
Gihun Lee, Kahyun Lee, Jong-Uk Hou
doaj +2 more sources
Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems [PDF]
Scientific ReportsMost accidents are a result of distractions while driving and road user’s safety is a global concern. The proposed approach integrates advanced deep learning for driver distraction detection with real-time road object recognition to jointly address this ...
Rakesh Salakapuri +5 more
doaj +2 more sources
Future TransportationThe rapid advancement of Advanced Driver Assistance Systems (ADAS) is reshaping the future of mobility by offering potential improvements in safety, efficiency, and driving experience, yet consumer acceptance remains uneven across regions.
Boglárka Eisinger Balassa +3 more
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Future TransportationAdvanced Driver Assistance Systems (ADAS) have significant potential to improve road safety. However, drivers’ perceptions and acceptance of these systems in Thailand have not been explored.
Nicharuch Panjaphothiwat +2 more
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Transportation Research Interdisciplinary Perspectives, 2022 Automotive companies have been developing vehicles with advanced features that aid in various driving tasks. These features are aimed at enhancing safety by either warning the drivers of a potential hazard or picking up certain driving maneuvers like ...
Raghuveer Gouribhatla +1 more
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