Bonnefoy, Mme Louise (2017) Multimodal fusion in computer vision for social robots PRE - Research Project, ENSTA.



Social robots involved in Human-Robot Interaction (HRI) require highly accurate user detection. To enhance the process, fusion of data coming from several sensors or detectors can be resorted to. The coming work offers a brief review of user detection and data fusion techniques. The goal is to provide a first first framework for further enhancements of the use of fusion, based on the fusion process developed for the recent STRANDS project. The study first focuses on user detection to give an evaluation of the performances of various detectors. Then, a solution to integrate the STRANDS process is submitted. Several scenarios are investigated to assess the performances and advantages of the data fusion.

Item Type:Thesis (PRE - Research Project)
Uncontrolled Keywords:Data fusion; Kalman filter; Multisensor fusion; Social Robotics; UKF; User detection
Subjects:Information and Communication Sciences and Technologies
ID Code:6915
Deposited By:Louise Bonnefoy
Deposited On:19 avr. 2019 10:23
Dernière modification:19 avr. 2019 10:23

Repository Staff Only: item control page