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Frontiers in Psychology, 2023 IntroductionThe potential safety benefits of advanced driver assistance systems (ADAS) highly rely on drivers’ appropriate mental models of and trust in ADAS.
Chunxi Huang +5 more
exaly +4 more sources
Transportation Research Interdisciplinary Perspectives, 2020 Automated Driver Assistance Systems (ADAS) are designed to support the driver and enhance the driving experience. Due to ADAS limitations associated with the driving context, the intended use of ADAS functions is often non-transparent for the end-user ...
Julia Orlovska +2 more
exaly +4 more sources
Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data [PDF]
Safety Science, 2018 Accurate understanding of driver behaviour is crucial for future Advanced Driver Assistance Systems (ADAS) and autonomous driving. For user acceptance it is important that ADAS respect individual driving styles and adapt accordingly. Using data collected
Allison, Craig K. +4 more
core +3 more sources
Regional cerebral THK5351 accumulations correlate with neuropsychological test scores in Alzheimer continuum [PDF]
Asia Oceania Journal of Nuclear Medicine and Biology, 2023 Objective(s): We evaluated the relationship between regional accumulations of the tau positron emission tomography (PET) tracer THK5351 and cognitive dysfunction in the Alzheimer's disease (AD) continuum. Methods: The cases of 18 patients with AD or mild
SungWoon Im +3 more
doaj +1 more source
The Need of Advanced Driver-Assistance System’s Development based on an Analysis of Road Accidents [PDF]
Informatică economică, 2023 aking a look at the numbers of road accidents using Machine Learning techniques and configuring predictions based on historic data, the paper aims to emphasize the need of a method to decrease numbers of accidents.
Diana GHEORGHE
doaj +1 more source
An Experimental Bench for Testing a S-CAM Front Car Camera [PDF]
International Journal of Electronics and Telecommunications, 2022 The paper presents an experimental stand for testing the front car camera S-CAM with embedded image recognition systems. The camera sends CAN messages these are converted to USART messages by microprocessor based system.
Sławomir Gryś
doaj +1 more source
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 In this paper, we present a direct adaptation strategy (ADAS), which aims to directly adapt a single model to multiple target domains in a semantic segmentation task without pretrained domain-specific models.
Seunghun Lee +4 more
semanticscholar +1 more source
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data [PDF]
UI, 2022 Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations of the current ADAS and their possible solutions.
Jackie Ayoub +6 more
semanticscholar +1 more source
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 With the rapid development of intelligent vehicles and Advanced Driver-Assistance Systems (ADAS), a new trend is that mixed levels of human driver engagements will be involved in the transportation system. Therefore, necessary visual guidance for drivers
Yongkang Liu +5 more
semanticscholar +1 more source
A Prototype of Automotive 77 GHz Radar
Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. Automotive radars are the main tools for providing traffic safety. The development of such radars involve a number of technical difficulties due to the manufacture of high-precision extremely high-frequency (EHF) printed circuit boards.
O. I. Bureneva +5 more
doaj +1 more source