Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Kimihiko NAKANO"'
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 90, Iss 933, Pp 23-00266-23-00266 (2024)
This paper describes a practical method for estimating the contact condition between wheel and rail using an instrumented wheelset in a railway vehicle. In a previous study, it was confirmed that an observer based on Kalman filter can estimate wheels
Externí odkaz:
https://doaj.org/article/b64a22cd8ee4476583720ad46015d926
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 5, Pp 648-660 (2022)
Abstract Driver–automation shared control through haptic steering is developed to reduce the workload of drivers while keeping them in the control loop. For the optimum design of a haptic steering system, an understanding of driver behaviour based
Externí odkaz:
https://doaj.org/article/9fef46bac93844319b5f1b0ba80aaffd
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 772-785 (2022)
Lane change is a highly demanding driving task. A number of traffic accidents are induced by erroneous maneuvers. An automated lane-change system has the potential to reduce the driver workload and improve driving safety. A challenge is to improve th
Externí odkaz:
https://doaj.org/article/6c4077a6f70240529179eced48e92c59
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 88, Iss 908, Pp 21-00319-21-00319 (2022)
In this study, we proposed a new rotational multi-stable vibration energy harvesting system to harvest vibration energy using elastic spring and piezoelectric element. Theoretical studies such as the equation of dynamic motion of the proposed rotatio
Externí odkaz:
https://doaj.org/article/21300ad461f6460b976d84d624aeeb66
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 2, Iss 2, Pp 67-77 (2020)
Purpose – Automated driving systems (ADSs) are being developed to avoid human error and improve driving safety. However, limited focus has been given to the fallback behavior of automated vehicles, which act as a fail-safe mechanism to deal with sa
Externí odkaz:
https://doaj.org/article/4ce2119925224ed6882c07827cdda843
Publikováno v:
Sensors, Vol 23, Iss 3, p 1405 (2023)
With the development of automated driving, inferring a driver’s behavior can be a key element for designing an Advanced Driver Assistance System (ADAS). Current research is focused on describing and predicting a driver’s behaviors as labels, e.g.
Externí odkaz:
https://doaj.org/article/cebef1b8696a48fa97baf61ecb4e971f
Publikováno v:
AIP Advances, Vol 11, Iss 10, Pp 105213-105213-8 (2021)
This study proposes an elliptical rail–mass–spring mechanism to realize multi-stable circulation motion for electromagnetic energy harvesting. Unlike the conventional bistable vibration model, the moveable body can jump between multiple potential
Externí odkaz:
https://doaj.org/article/d4a90101b7f94947a8b708b1fa83395b
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 2, Iss 1, Pp 1-13 (2019)
Purpose – Two-handed automobile steering at low vehicle speeds may lead to reduced steering ability at large steering wheel angles and shoulder injury at high steering wheel rates (SWRs). As a first step toward solving these problems, this study ai
Externí odkaz:
https://doaj.org/article/caa9c12646ec47108bd767c127794c09
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 86, Iss 889, Pp 20-00072-20-00072 (2020)
Vibrational energy harvesting by application of stochastic resonance is receiving more and more attentions at the international level in recent years. However, the vibrational power conversion efficiency is still limited due to small excitation ampli
Externí odkaz:
https://doaj.org/article/58c8e7e0e2b14f42ba9c03d867d3c2db
Publikováno v:
Mechanical Engineering Journal, Vol 7, Iss 2, Pp 19-00572-19-00572 (2020)
Methods for presenting information by utilizing a visual field (such as driver peripheral vision) are attracting increased attention in association with an increase in the amount of information required for driver assistance. However, studies on inte
Externí odkaz:
https://doaj.org/article/4a7c10e33913461480bdd92933a9047b