Results 41 to 50 of about 65,028 (265)

Autonomous driving goes downtown

open access: yesIEEE Intelligent Systems, 1998
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

Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis

open access: yesApplied Sciences
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

Correction: Osman, M., et al. A Novel Online Approach for Drift Covariance Estimation of Odometries Used in Intelligent Vehicle Localization. Sensors 2019, 19, 5178

open access: yesSensors, 2020
The authors wish to make the following corrections to this paper [...]
Mostafa Osman   +4 more
doaj   +1 more source

Study on the Take-over Performance of Level 3 Autonomous Vehicles Based on Subjective Driving Tendency Questionnaires and Machine Learning Methods

open access: yesETRI Journal, 2023
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

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
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]

open access: yes2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
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

Estimation of Vehicle Attitude, Acceleration, and Angular Velocity Using Convolutional Neural Network and Dual Extended Kalman Filter

open access: yesSensors, 2021
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 shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
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

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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

A consideration for real-time attention measurement for cooperative control between autonomous driving system and driver

open access: yesNihon Kikai Gakkai ronbunshu
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

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