Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy - Université Polytechnique des Hauts-de-France Accéder directement au contenu
Article Dans Une Revue IEEE/ASME Transactions on Mechatronics Année : 2018

Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy

Résumé

Facial automatic kinship verification is a novel challenging research problem in computer vision. It performs the automatic examining of the facial attributes and expecting whether two persons have a biological kin relation or not. In this study, the authors introduce a novel learning method for kinship verification which consists of four main stages. (i) A discrete cosine transform network (DCTNet) applied to each face image in order to extract the most significant inherited facial features through convolutional layers based on 2D DCT filter bank. (ii) The response of the last layer is binarised and partitioned into non-overlapping block-wise histograms. (iii) A tied rank normalisation is used to eliminate the disparity of histogram vectors of DCTNet. (iv) The last stage is to distinguish between the different pairs. The distances between data points in the same classes (positive pairs) are as small as possible, while the distances are as large as possible between data points in different classes (negative pairs). Experiments are conducted on three public databases (UBKinFace, KinFaceW-I, and KinFaceW-II). They show significant performance improvements compared to state-of-the-art methods.
Fichier principal
Vignette du fichier
IEEE_TMECH2017_FINAL.pdf (1.64 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03428194 , version 1 (25-11-2023)

Identifiants

Citer

Tran Anh-Tu Nguyen, Chouki Sentouh, Jean-Christophe Popieul. Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy. IEEE/ASME Transactions on Mechatronics, 2018, 23 (1), pp.5-16. ⟨10.1109/TMECH.2017.2698216⟩. ⟨hal-03428194⟩
15 Consultations
3 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More