Zobrazeno 1 - 10
of 6 200
pro vyhledávání: '"Advanced Driver Assistance Systems"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 12, Pp 2532-2551 (2024)
Abstract Road detection plays a vital role in automated driving and advanced driver assistance systems. In recent years, mainstream frameworks have suffered from the restrictions of a receptive field and the limitation of modelling long‐range relat
Externí odkaz:
https://doaj.org/article/46641a97eccb4b24a0441751d9136389
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 9, Pp 1599-1615 (2024)
Abstract Crashes between cars and powered two‐wheelers (PTWs: motorcycles, scooters, and e‐bikes) are a safety concern; as a result, developing car safety systems that protect PTW riders is essential. While the pre‐crash protection system autom
Externí odkaz:
https://doaj.org/article/f6527e63136e4159b8dc149a0ed7bb17
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 8, Pp 1408-1427 (2024)
Abstract Camera‐based Driver Monitoring Systems (DMS) have the potential to exploit eye tracking correlates of alcohol intoxication to detect drunk driving. This study investigates how glance, blink, saccade, and fixation metrics are affected by al
Externí odkaz:
https://doaj.org/article/dfc717612c1a434599b68aa2a6cf279b
Autor:
Federico Dios, Sergio Torres-Benito, Jose A. Lázaro, Josep R. Casas, Jorge Pinazo, Adolfo Lerín
Publikováno v:
Telecom, Vol 5, Iss 3, Pp 508-521 (2024)
Among the sensors necessary to equip vehicles with an autonomous driving system, there is a tacit agreement that cameras and some type of radar would be essential. The ability of radar to spatially locate objects (pedestrians, other vehicles, trees,
Externí odkaz:
https://doaj.org/article/c86e804fba5e49409510d40c3ccb2494
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 5, Pp 822-834 (2024)
Abstract An object detection framework using thermal infrared (TIR) cameras is proposed to meet the needs of an advanced driver assistance system (ADAS) operating at night‐time and in low‐visibility conditions. The proposed detection framework, r
Externí odkaz:
https://doaj.org/article/ef4fea12ced04417a37a240ad7321b2f
Autor:
Noah J. Goodall
Publikováno v:
Traffic Safety Research, Vol 6 (2024)
Between June 2018 and December 2023, Tesla released quarterly safety reports citing average miles between crashes for Tesla vehicles. Prior to March 2021, crash rates were categorized as (1) with their SAE Level 2 automated driving system Autopilot e
Externí odkaz:
https://doaj.org/article/06f1e7b253884887b288840697dfeddd
Publikováno v:
In Engineering Applications of Artificial Intelligence 15 February 2025 142
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 11, Iss 1, Pp 16-27 (2024)
Sight obstructions along road curves can lead to a crash if the driver is not able to stop the vehicle in time. This is a particular issue along curves with limited available sight, where speed management is necessary to avoid unsafe situations (e.g.
Externí odkaz:
https://doaj.org/article/26cc6554cc1e4c11b607355a3381f9d1
Autor:
ziadoon al-qaysi
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Driver behavior has a major role in many of the unpleasant things that happen when driving, such as crashes or accidents, heavy traffic, abrupt braking, and acceleration and deceleration. Numerous investigations have been carried out to look into the
Externí odkaz:
https://doaj.org/article/02cef184617c4aff9d830bc97eb69792
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 25, Iss , Pp 101125- (2024)
On average, more than 3,600 people die every day on world’s roads: road accidents result in over 1.3 million deaths and 50 million injuries annually, placing a significant burden on society and generating substantial economic costs for Governments
Externí odkaz:
https://doaj.org/article/e3fddf04977145228704e07e80ec5ae7