Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Distraction detection"'
Autor:
Khwanchai Kaewkaisorn, Krisna Pintong, Songpol Bunyang, Teerarat Tansawat, Thitirat Siriborvornratanakul
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract Electronic Learning (E-Learning) played a significant role in education during the Covid-19 pandemic. It is a way to teach and learn online, and it is an efficient method of knowledge transfer for the instructors and students, who must pract
Externí odkaz:
https://doaj.org/article/a9f8ad3e14604972809c50b200e6ea98
Publikováno v:
Vehicles, Vol 6, Iss 1, Pp 140-156 (2024)
Driver distraction detection not only helps to improve road safety and prevent traffic accidents, but also promotes the development of intelligent transportation systems, which is of great significance for creating a safer and more efficient transpor
Externí odkaz:
https://doaj.org/article/5af8d1265e0a4d5fbb2f908f53822369
Autor:
Marcel Ciesla, Gerald Ostermayer
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8935 (2024)
Distracted driving is a significant threat to road safety, causing numerous accidents every year. Driver distraction detection systems offer a promising solution by alerting the driver to refocus on the primary driving task. Even with increasing vehi
Externí odkaz:
https://doaj.org/article/2c69cb4da1bb49c8aa69bbfee07381de
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 18248-18266 (2023)
Real-time and efficient driver distraction detection is of great importance for road traffic safety and assisted driving. The design of a real-time lightweight model is crucial for in-vehicle edge devices that have limited computational resources. Ho
Externí odkaz:
https://doaj.org/article/6b549fe3dd7242dfbef1a350c4e8f4b7
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 17, p 7505 (2023)
Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of vehicle accide
Externí odkaz:
https://doaj.org/article/a5869b321cfc4b0db58ec807c4634485
Publikováno v:
Mathematics, Vol 11, Iss 8, p 1867 (2023)
Driver distraction detection (3D) is essential in improving the efficiency and safety of transportation systems. Considering the requirements for user privacy and the phenomenon of data growth in real-world scenarios, existing methods are insufficien
Externí odkaz:
https://doaj.org/article/e916cb90b6b94394bfaa42ada966e63b
Publikováno v:
Sensors, Vol 23, Iss 8, p 3835 (2023)
Driver distraction is considered a main cause of road accidents, every year, thousands of people obtain serious injuries, and most of them lose their lives. In addition, a continuous increase can be found in road accidents due to driver’s distracti
Externí odkaz:
https://doaj.org/article/aa796984b67146c6a329bd065f84f93f
Publikováno v:
IEEE Access, Vol 9, Pp 60063-60076 (2021)
Driver inattention and distraction are the main causes of road accidents, many of which result in fatalities. To reduce road accidents, the development of information systems to detect driver inattention and distraction is essential. Currently, distr
Externí odkaz:
https://doaj.org/article/b5aaff60c5b2480cb7bc865542bddb04
Akademický článek
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