Results 11 to 20 of about 868,215 (381)
ESTIMATED ASSESSMENT OF THE POTENTIAL IMPACT OF DRIVER-ASSISTANCE SYSTEMS USED IN AUTOMATED VEHICLES ON THE LEVEL OF ROAD SAFETY IN POLAND [PDF]
Transport Problems, 2020 Strengthening road safety in the face of the enormous development of the automotive in recent decades is crucial. The safety benefits of automated vehicles are paramount.Automated vehicles have the potential to remove human error in ...
Małgorzata PĘDZIERSKA +2 more
doaj +1 more source
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
semanticscholar +1 more source
Traffic Safety Research, 2023 Vulnerable road users (VRUs) are frequently involved in road traffic crashes worldwide, and the most serious consequences often occur in collisions with motor vehicles.
Irene Isaksson Hellman, M. Lindman
semanticscholar +1 more source
Environmental Sciences Europe, 2023 The United Nations Food Systems Summit and the European Green Deal have prompted various policy and regulatory initiatives aiming to transition agricultural practices to become more sustainable.
Laura Green +4 more
doaj +1 more source
Real-Time Multi-Task ADAS Implementation on Reconfigurable Heterogeneous MPSoC Architecture
IEEE Access, 2023 The rapid adoption of Advanced Driver Assistance Systems (ADAS) in modern vehicles, aiming to elevate driving safety and experience, necessitates the real-time processing of high-definition video data.
G. Tatar, S. Bayar
semanticscholar +1 more source
Autonomous vehicles and the issue of liability for damage caused by the movement of such a vehicle
Journal of Modern Science, 2023 Objectives The aim of the article was to discuss the development of a model of civil liability for damage caused by an automated or fully automated vehicle.
Ewa Jędrzejewska
doaj +1 more source
Frontiers in Neuroinformatics, 2021 In recent years, the automotive field has been changed by the accelerated rise of new technologies. Specifically, autonomous driving has revolutionized the car manufacturer's approach to design the advanced systems compliant to vehicle environments. As a
Francesco Rundo +5 more
doaj +1 more source
Adaptation to driver-assistance systems depending on experience
Open Engineering, 2021 Many tasks that until recently could only be performed by humans are now entrusted to machines. Automation plays an increasingly important role in many areas of life, and its special role is observed in broadly understood transport, affecting the ...
Ucińska Monika
doaj +1 more source
DETECTION AND RECOGNITION OF ROAD SIGNS USING YOLOv5 [PDF]
Proceedings on Engineering Sciences, 2023 In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver assistance ...
Haitam Ettazi +2 more
doaj +1 more source
Ada, Ada, Ada, and Ada: Transforming Learner Identities through Social Practice
Anthropology & Education Quarterly, 2022 I draw on ethnographic data from a German school to explore discursive practices of educators that rationalize the illiteracy of 10‐year‐old, multilingual Ada. I juxtapose various moments of school life that “thickened” Ada's learner identities and find that special needs labeling often rested on pragmatic considerations of resource management and that
openaire +2 more sources