Results 41 to 50 of about 65,028 (265)
Autonomous driving goes downtown
Most computer-vision systems for vehicle guidance are for highway scenarios. Developing autonomous or driver-assistance systems for complex urban traffic poses new algorithmic and system-architecture challenges. To address these issues, the authors introduce their intelligent Stop&Go system and discuss appropriate algorithms and approaches for vision ...
Uwe Franke +5 more
openaire +1 more source
Level 2 driving automation requires continuous driver supervision, yet common attention metrics often capture gaze allocation rather than the structure of supervisory scanning.
Hanna Chouchane +5 more
doaj +1 more source
The authors wish to make the following corrections to this paper [...]
Mostafa Osman +4 more
doaj +1 more source
Level 3 autonomous vehicles require conditional autonomous driving in which autonomous and manual driving are alternately performed; whether the driver can resume manual driving within a limited time should be examined.
Hyunsuk Kim +6 more
doaj +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Social Cohesion in Autonomous Driving [PDF]
Autonomous cars can perform poorly for many reasons. They may have perception issues, incorrect dynamics models, be unaware of obscure rules of human traffic systems, or follow certain rules too conservatively. Regardless of the exact failure mode of the car, often human drivers around the car are behaving correctly.
Nicholas C. Landolfi, Anca D. Dragan
openaire +2 more sources
The acceleration of a vehicle is important information in vehicle states. The vehicle acceleration is measured by an inertial measurement unit (IMU). However, gravity affects the IMU when there is a transition in vehicle attitude; thus, the IMU produces ...
Minseok Ok, Sungsuk Ok, Jahng Hyon Park
doaj +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Planning-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in sequential order, i.e., perception, prediction, and planning. In order to perform a wide diversity of tasks and achieve advanced-level intelligence, contemporary approaches either deploy standalone models for individual tasks, or design a multi-task paradigm with separate heads ...
Yihan Hu 0001 +15 more
openaire +2 more sources
We have repeatedly considered Holographic Neural Network (HNN) emerged by Sutherland ,J. G. as a causable machine learning. As a result, we developed FQHNN (Fuzzy Quantification Theory Embedded Holographic Neural Network) which has been already applied ...
Hiroe ABE +3 more
doaj +1 more source

