A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives
[article]
2022
arXiv
pre-print
Preserved Fulltext
Other Versions
For decades, researchers on Vehicular Ad-hoc Networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively. ...
Potentials for bridging the gap between these two worlds and creating synergies of these two technologies have recently started to attract significant attention of many companies and government agencies ...
, HD mapping, energy efficiency, automated highway driving, accelerated deep learning, sensor fusion, HD mapping, etc. ...
arXiv:2201.02893v2
fatcat:bqnscosmqrfdvihexa4mhqv2dy
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
strategies for multimodal affective analysis, and unsupervised learning models. ...
Firstly, we introduce two typical emotion models followed by commonly used databases for affective computing. ...
Compared with feature-level fusion, decision-level fusion [362] is performed easier, but ignores the relevance among features of different modalities. ...
arXiv:2203.06935v3
fatcat:h4t3omkzjvcejn2kpvxns7n2qe
Noisy Ocular Recognition Based on Three Convolutional Neural Networks
2017
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In recent years, the iris recognition system has been gaining increasing acceptance for applications such as access control and smartphone security. ...
Hence, many studies have proposed methods of using iris images captured by a visible light camera without the need for an additional illuminator. ...
Training of CNN Model In order to verify the method suggested by this study for two-fold cross-validation, training of the CNN model was conducted by using the training data obtained through the data augmentation ...
doi:10.3390/s17122933
pmid:29258217
pmcid:PMC5751551
fatcat:2ldr2vbtunaq5hhpn5f5xoisia
Object exploration using vision and active touch
2017
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
When vision is dominant, increasing the influence of touch over uni-modal vision (10 −2 ≤ σ ≤ 0.3), causes the perceptual errors to initially change very little, but then improve precipitously to the optimal ...
Edge following with uni-modal vision or touch First, we verify that the tactile perception method (Sec. III-B) and the visual perception method (Sec. ...
doi:10.1109/iros.2017.8206542
dblp:conf/iros/YangL17
fatcat:l6plx3oppvef3ka67p7nhc6ucm
Biometric identification systems
2003
Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Fusion at di erent conceptual levels is described. Finally, a section on commercial issues provides the reader a perspective of the main companies currently involved in this ÿeld. ? ...
Acknowledgements The authors acknowledge the Spanish CICYT for research Grant TIC2001-3808-C02. ...
This framework basically changes scales and eliminates biases in the opinion quantities. Then a nonlinear function maps the opinions within the segment [0; 1]. ...
doi:10.1016/j.sigpro.2003.08.001
fatcat:tkz6nqg57ffb5bipn5yb6r6sjy
TWO!EARS Deliverable D4.1 - Feedback-loop selection and listing (WP4: Active listening, feedback loops & integration of cross-modal information; FP7-ICT-2013-C TWO!EARS FET-Open Project 618075)
2019
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Also, multi-modal approaches have been reviewed and evaluated with regard to their value for Two!Ears. Her [...] ...
This deliverable mainly entails our advance on the key task for the current project period, namely, task 4.1. ...
• Task 4.3 -Cross-modal input For operations on cross-modal input, the Two!Ears system has been augmented with the MORSE robot simulator. ...
doi:10.5281/zenodo.2595244
fatcat:3oocvxholvgr3ecgubmq3uwxqa
6G Cognitive Information Theory: A Mailbox Perspective
2021
Big Data and Cognitive Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In order to solve the above challenges, we propose a 6G mailbox theory, namely a cognitive information carrier to enable distributed algorithm embedding for intelligence networking. ...
Remote Sensing and Mapping Remote sensing refers to non-contact, remote-detection technology [87] . ...
area network, and multi-modal patient-data fusion, diagnosis, and treatment. ...
doi:10.3390/bdcc5040056
fatcat:ffof5likzbhfnopa3yfaobznfa
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Through this study, we aim at finding the most accurate technique for detecting different brain diseases which can be employed for future betterment. ...
Thus, because of the variability of brain diseases, existing diagnosis or detection systems are becoming challenging and are still an open problem for research. ...
Here, they have used a multi-modal feature extractor and 10-fold cross validation for testing purposes. ...
doi:10.1109/access.2021.3062484
fatcat:lmhp34ad3zdexb5y4bt5ksntia
Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This paper aims to provide a systematic review on computing methods for LA cavity, wall, scar and ablation gap segmentation and quantification from LGE MRI, and the related literature for AF studies. ...
Although several methods have been proposed, especially for LA segmentation, there is still large scope for further algorithmic developments due to performance issues related to the high variability of ...
JA Schnabel and VA Zimmer would like to acknowledge funding from a Wellcome Trust IEH Award (WT 102431), an EPSRC programme grant (EP/P001009/1), and the Wellcome/EPSRC Center for Medical Engineering ( ...
arXiv:2106.09862v3
fatcat:y7gk5bjqirgotbx3bwfq62rnqy
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Finally, derived from our study, we outline research opportunities that we foresee will be decisive in the near future for the development of the explainable computer vision field. ...
The final score fusion with RF outperforms weighted fusion in all but one dimension (agreeableness), where the performances are equal. ...
BU-NKU: Decision Trees for Modality Fusion and Explainable Machine Learning The BU-NKU system is based on audio, video, and scene features. ...
arXiv:1802.00745v3
fatcat:o22jgp5n4ra7fghtpbf42ikde4
Unbiased Directed Object Attention Graph for Object Navigation
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
[8] utilize cross-modality knowledge reasoning (CKR) to apply an external knowledge graph in the agent's navigation. Zhang et al. ...
, and the ability to map the environment to reality. ...
arXiv:2204.04421v2
fatcat:b3d6cdgbb5ckzepc2mvm2ghwm4
Visual Analysis in Traffic & Re-identification
[article]
2015
Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Eshed Ohn-Bar for their comments. ...
The authors would also like to acknowledgment Cassa di Risparmio di Parma e Piacenza for funding the test platform used for this work. ...
"A Decision Fusion and Reasoning Module for a Traffic Sign Recognition System". ...
doi:10.5278/vbn.phd.engsci.00026
fatcat:taivrerts5debi734ddeeaq244
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The real traffic environment is too complicated for current autonomous driving computing systems to understand and handle. ...
In this paper, we present state-of-the-art computing systems for autonomous driving, including seven performance metrics and nine key technologies, followed by twelve challenges to realize autonomous driving ...
Localization is responsible for finding ego-position relative to a map [105] . The mapping constructs multi-layer high definition (HD) maps [106] for path planning. ...
arXiv:2009.14349v3
fatcat:xmo6mxucizf33hu2n2ddoy4xsy
Breast compression parameters among women imaged with full field digital mammography and breast tomosynthesis in BreastScreen Norway
2018
14th International Workshop on Breast Imaging (IWBI 2018)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
positive rate for detecting a true change in uptake). ...
Ten-fold cross validation was used for model selection. ...
The aim of this paper is to evaluate temporal breast density changes using density maps, provided by the commercial software Volpara. ...
doi:10.1117/12.2317918
dblp:conf/iwbi/WadeHHSMPH18
fatcat:gyksxd5b2jf4jpntucqs5zjc5i
A Survey of Localization Methods for Autonomous Vehicles in Highway Scenarios
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
For this purpose, the vehicle needs to be able to take into account the information from several sensors and fuse them with data coming from road maps. ...
In this survey, we introduce a taxonomy of the localization methods for autonomous vehicles in highway scenarios. ...
[31] characterize a CRF model for Map-Matching. To verify the effectiveness of the model, the authors performed the Map-Matching on a dataset from Shanghai taxis. ...
doi:10.3390/s22010247
pmid:35009790
pmcid:PMC8749843
fatcat:aqd7iddh2za4dbmeyeyxl3kyme
« Previous
Showing results 1 — 15 out of 467 results