Streaming Image Sequences for Vision-Based Mobile Robots

2015 ◽  
pp. 637-646 ◽  
Author(s):  
Andry Maykol Pinto ◽  
António Paulo Moreira ◽  
Paulo Gomes Costa
Keyword(s):  
Mobile Robots ◽  
Image Sequences

Vision for mobile robots

1992 ◽  
Vol 337 (1281) ◽  
pp. 341-350 ◽  
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Structure From Motion ◽  
Optic Flow ◽  
Image Sequences ◽  
Additional Constraint ◽  
Feature Points ◽  
Scene Structure ◽  
Corner Points ◽  
Edge Points

Localized feature points, particularly corners, can be computed rapidly and reliably in images, and they are stable over image sequences. Corner points provide more constraint than edge points, and this additional constraint can be propagated effectively from corners along edges. Implemented algorithms are described to compute optic flow and to determine scene structure for a mobile robot using stereo or structure from motion. It is argued that a mobile robot may not need to compute depth explicitly in order to navigate effectively.

Position and Rotation Estimation for Mobile Robots in Outside of Recording Path Using Ego-motion

2013 ◽  
Vol 133 (2) ◽  
pp. 356-364 ◽  
Author(s):  
Yoshinobu Hagiwara ◽  
Tatsuya Shoji ◽  
Hiroki Imamura
Keyword(s):  
Mobile Robots ◽  
Rotation Estimation

Deployment Control of Wireless Multi-Hop-Relay Mobile Robots Based on Voronoi Partition

2012 ◽  
Vol 132 (3) ◽  
pp. 381-388
Author(s):  
Takaaki Imaizumi ◽  
Hiroyuki Murakami ◽  
Yutaka Uchimura
Keyword(s):  
Mobile Robots ◽  
Voronoi Partition

Time-Optimal Gathering Algorithm of Mobile Robots with Local Weak Multiplicity Detection in Rings

2013 ◽  
Vol E96.A (6) ◽  
pp. 1072-1080 ◽  
Author(s):  
Tomoko IZUMI ◽  
Taisuke IZUMI ◽  
Sayaka KAMEI ◽  
Fukuhito OOSHITA
Keyword(s):  
Mobile Robots ◽  
Time Optimal

Control of Mobile Robots by Means of Internet

2006 ◽  
Vol 65 (3) ◽  
pp. 229-241
Author(s):  
S. F. Yatsun ◽  
F. K. Freire ◽  
V. S. Dyshenko ◽  
O. A. Shadrina
Keyword(s):  
Mobile Robots

Polygon Shape Formation for Multi-Mobile Robots in a Local Knowledge Environment

2019 ◽  
Vol 19 (2) ◽  
pp. 39-46
Author(s):  
Abdulmuttalib T. Rashid ◽  
Abduladhem A. Ali
Keyword(s):  
Mobile Robots ◽  
Local Knowledge ◽  
Shape Formation ◽  
Knowledge Environment

An Obstacle-resistant Relay Node Placement in Constrained Environment

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mobile Robots ◽  
Relay Node ◽  
Wireless Sensor ◽  
Relay Node Placement ◽  
Node Placement ◽  
Simulation Results ◽  
Additional Hardware ◽  
Shape And Size

Relay node placement in wireless sensor networks for constrained environment is a critical task due to various unavoidable constraints. One of the most important constraints is unpredictable obstacles. Handling obstacles during relay node placement is complicated because of complexity involved to estimate the shape and size of obstacles. This paper presents an Obstacle-resistant relay node placement strategy (ORRNP). The proposed solution not only handles the obstacles but also estimates best locations for relay node placement in the network. It also does not involve any additional hardware (mobile robots) to estimate node locations thus can significantly reduce the deployment costs. Simulation results show the effectiveness of our proposed approach.

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