Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jialiang Le"'
Autor:
Lingxi Li, Srinivasan Sundararajan, Saeed David Barbat, Jialiang Le, Avinash Prabu, Renran Tian
Publikováno v:
ITSC
The development of fully autonomous vehicles (AVs) can potentially eliminate drivers and introduce unprecedented seating design. However, highly flexible seat configurations may lead to occupants' unconventional poses and actions. Understanding occup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9771fdf4f6bb339f22b14ec4c996c34
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 6:716-732
Driver state sensing technologies, such as vehicular systems, start to be widely considered by automotive manufacturers. To reduce the cost and minimize the intrusiveness towards driving, the majority of these systems rely on the in-cabin camera
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
In recent years, with the help of Ultra-wideband (UWB) radar, contactless measurement of vital signs become possible. This type of radar has sufficient range accuracy for micro-motion such as chest displacement or belly displacement. However, ambient
Publikováno v:
MIPR
Recent research shows that the aging patterns deeply learned from large-scale data lead to significant performance improvement on age estimation. However, the insight about why and how deep learning models achieved superior performance is inadequate.
Publikováno v:
CVPR
Human age is considered an important biometric trait for human identification or search. Recent research shows that the aging features deeply learned from large-scale data lead to significant performance improvement on facial image-based age estimati
Publikováno v:
SAE Technical Paper Series.
Autor:
Jerry Jialiang Le, Clifford C. Chou
Publikováno v:
SAE Technical Paper Series.
Autor:
Robert William McCoy, Nathan A. Rose, Clifford C. Chou, Jerry Jialiang Le, William Neale, Stephen J. Fenton
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
SAE Technical Paper Series.
A number of studies, using data from NASS-CDS, have shown a large percentage of rollover crashes can be classified as tripped events. In many cases, the requirements for a tripped rollover detection algorithm are driven by the timely activation of an
Publikováno v:
SAE Technical Paper Series.
State of the art electronic restraint systems rely on the acceleration measured during a vehicle crash for deployment decisions. The acceleration signal is analyzed with different criteria, among which the velocity change is a dominant criterion in a