scholarly journals Mobile Robot Positioning by using Low-Cost Visual Tracking System

2017 ◽  
Vol 95 ◽  
pp. 08006 ◽  
Author(s):  
Niramon Ruangpayoongsak
Keyword(s):  
Mobile Robot ◽  
Visual Tracking ◽  
Tracking System ◽  
Low Cost ◽  
Robot Positioning

scholarly journals Visual tracking system for a mobile robot using colour histograms

2004 ◽  
Vol 37 (8) ◽  
pp. 299-303
Author(s):  
Jaume Vergés-LlahÍ ◽  
Joan Aranda ◽  
Alberto Sanfeliu
Keyword(s):  
Mobile Robot ◽  
Visual Tracking ◽  
Tracking System ◽  
Colour Histograms

scholarly journals Wind direction sensor based on thermal anemometer for olfactory mobile robot

2019 ◽  
Vol 13 (2) ◽  
pp. 475 ◽  
Author(s):  
Helmy Widyantara ◽  
Muhammad Rivai ◽  
Djoko Purwanto
Keyword(s):  
Mobile Robot ◽  
Success Rate ◽  
Wind Direction ◽  
Tracking System ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Sensor System ◽  
Positive Temperature ◽  
Air Pollution Monitoring ◽  
Thermal Anemometer

A wind direction sensor has been implemented for many applications, such as navigation, weather, and air pollution monitoring. In an odor tracking system, the wind plays the important role to carry gas from its source. Therefore, the precise, low-cost, and effective wind direction sensor is required to trace the gas source. In this study, a new design of wind direction sensor has been developed using thermal anemometer principle with the main component of the positive temperature coefficient thermistor. Three anemometers each of which has different directions are used as inputs for the neural network to determine the direction of the wind automatically.The experimental results show that the wind sensor system is able to detect twelve wind directions. A mobile robot equipped with this sensor system can navigate to a wind source in the open air with a success rate of 80%.This system is expected to increase the success rate of the mobile robot in searching for dangerous leaking gas in the open air.

A Stereo Vision Based Target Tracking and Obstacle Avoidance

2009 ◽  
Vol 419-420 ◽  
pp. 565-568 ◽  
Author(s):  
Chao Ching Ho
Keyword(s):  
Mobile Robot ◽  
Target Tracking ◽  
Obstacle Avoidance ◽  
Visual Tracking ◽  
Stereo Vision ◽  
Vision System ◽  
Tracking System ◽  
Video Data ◽  
Corner Detection ◽  
Harris Corner

Designing a visual tracking system to track an object is a complex task because a large amount of video data must be transmitted and processed in real time. In this study, a stereo vision system is used to acquire the 3D positions of the target, tracking can be achieved by applying the CAMSHIFT algorithm, then apply the fuzzy reasoning control to steer the mobile robot to follow the selected target and avoid the in-path obstacles. The adopted obstacle avoidance component is based on the Harris corner detection and the binocular stereo imaging, which performs the correspondence calculation. Therefore a depth map is created and showing the relative 3D distances of the detected substantial features to the robot, which provides the information of the in-path obstacles in front of the wheeled mobile robot. The designed visual tracking and servo system is less sensitive to lighting influences and thus performs more efficiently. Experimental results showed that the mobile robot vision system successfully finished the target-following task by avoiding obstacles.

scholarly journals An Assessment of a Low-Cost Visual Tracking System (VTS) to Detect and Compensate for Patient Motion During SPECT

2008 ◽  
Vol 55 (3) ◽  
pp. 992-998 ◽  
Author(s):  
Joseph E. McNamara ◽  
Philippe Bruyant ◽  
Karen Johnson ◽  
Bing Feng ◽  
Andre Lehovich ◽  
...  
Keyword(s):  
Visual Tracking ◽  
Tracking System ◽  
Low Cost ◽  
Patient Motion

Image Processing Algorithm for Tracking and Picking an Object for an Open Platform Mobile Robot

2009 ◽  
Vol 419-420 ◽  
pp. 569-572 ◽  
Author(s):  
Chao Ching Ho
Keyword(s):  
Mobile Robot ◽  
Visual Tracking ◽  
Vision System ◽  
Tracking System ◽  
Video Data ◽  
Target Color ◽  
Image Processing Algorithm ◽  
End Effector ◽  
Open Platform ◽  
Pick And Place

Designing a visual tracking system to pick-and-place an object is a complex task because a large amount of video data must be transmitted and processed in real time. In this work, a mobile robot visual control system is proposed which uses a stereo vision to acquire the 3D positions of a target color ball and to control an end-effector to pick the ball up and place it in the specified location. This mobile robotic system is based on the Open Source Computer Vision Library for programming framework with portable components, off-the-shelf commercial hardware, and minimal programming. Two calibrated web cameras are used to track the color ball and a 2-axis end-effector is controlled to pick up the tracked color ball. The visual tracking and servo system as designed in this work is less sensitive to lighting influences and thus performs more efficiently. Experimental results show that the open platform based robot vision system successfully finishes the pick-and-place task and could be scalable to many diverse areas of robotics research

scholarly journals View Planning for Robotic Inspection of Tolerances Through Visual Tracking of Manual Surface Finishing Operations

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Eirik B. Njaastad
Keyword(s):  
Visual Tracking ◽  
Tracking System ◽  
Low Cost ◽  
Principal Component ◽  
Surface Finishing ◽  
Skilled Worker ◽  
View Planning ◽  
Tool Paths ◽  
Camera View ◽  
Ship Propeller

This article presents an approach for determining suitable camera view poses for inspection of surface tolerances based on visual tracking of the tool movements performed by a skilled worker. Automated surface inspection of a workpiece adjusted by manual operations depends on manual programming of the inspecting robot, or a timeconsuming exhaustive search over the entire surface. The proposed approach is based on the assumption that the tool movements of the skilled worker coincide with the most relevant regions of the underlying surface of the workpiece, namely the parts where a manual process has been performed. The affected region is detected with a visual tracking system, which measures the motion of the tool using a low-cost RGBD-camera, a particle filter, and a CAD model of the tool. The main contribution is a scheme for selecting relevant camera view poses for inspecting the affected region using a robot equipped with a high-accuracy RGBDcamera. A principal component analysis of the tracked tool paths allows for evaluating the view poses by the Hotelling’s T-squared distribution test in order to sort and select suitable camera view poses. The approach is implemented and tested for the case where a large ship propeller blade cast in NiAl bronze is to be inspected by a robot after manual adjustments of its surface.

FUZZY COGNITIVE MAPS EMBEDDED IN A LOW COST AUTONOMOUS MOBILE ROBOT

2019 ◽  
Author(s):  
Márcio Mendonça ◽  
Guilherme Bender Sartori ◽  
Lucas Botoni de Souza ◽  
Giovanni Bruno Marquini Ribeiro
Keyword(s):  
Mobile Robot ◽  
Low Cost ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Autonomous Mobile Robot
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