Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF
To fulfill the tasks of human-robot interaction (HRI), how to detect the specific human (SH) becomes paramount. In this paper, the deep learning approach by the integration of Single-Shot Detection, FaceNet, and Kernelized Correlation Filter (SSD-FN-KCF) is developed. From the outset, the SSD is emp...
Main Authors: | Chih-Lyang Hwang, Ding-Sheng Wang, Fan-Chen Weng, Sheng-Lin Lai |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9016263/ |
Similar Items
-
Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF
by: Ding-Sheng Wang, et al.
Published: (2019) -
MPC-Based Path Following Control of an Omnidirectional Mobile Robot with Consideration of Robot Constraints
by: Kiattisin Kanjanawanishkul
Published: (2015-01-01) -
Software/Hardware-Based Hierarchical Finite-Time Sliding-Mode Control With Input Saturation for an Omnidirectional Autonomous Mobile Robot
by: Chih-Lyang Hwang, et al.
Published: (2019-01-01) -
Omnidirectional Quadruped Robot
by: Stenow, Samuel, et al.
Published: (2021) -
Mobile Robot Self-Localization Using Omnidirectional Vision with Feature Matching from Real and Virtual Spaces
by: Huei-Yung Lin, et al.
Published: (2021-04-01)