Study on Distance Measure Based on Monocular Vision

Zhang, Lixia; Bo, Yuming; Zhang, Jianfeng; Wei-jun, Zou

doi:10.1016/j.egypro.2011.12.763

Cited by 2 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These non-ideal elements lead to reduce the localization precision. To solve the mentioned non-ideal factors many researches tried to fmd better ways to model the environments and mathematic tools for simulation [12]- [13]. This paper proposes an efficient mechanism to improve the orientation precision.…”

Section: Robotic Vision Based Localizationmentioning

confidence: 99%

Efficient neural network approach of self-localization for humanoid robot

Chang

Hsia

et al. 2009

2009 Joint Conferences on Pervasive Computing (JCPC)

View full text Add to dashboard Cite

Robot soccer game is one of the significant and interesting areas among most of the autonomous robotic researches. Following the humanoid soccer robot basic movement and strategy actions, the robot is operated in a dynamic and unpredictable contest environment and must recognize the position of itselfin the fi eld all the time. Therefore, the localization system of the soccer robot becomes the key technology to improve the performance. This work proposes efficient approachesfor humanoid robot and uses one landmark to accomplish the self-localization. This localization mechanism integrates the inf ormation from the pan/tilt motors and a single camera on the robot head together with the artificial neural network technique to adaptively adjust the humanoid robot position. The neural network approach can improve the precision of the localization. The experimental results indicate that the average accuracy ratio is 88.5% underframe rate of 15 frames per second (fps), and the average error for the distance between the actual position and the measured position ofthe object is 6.68cm.

show abstract

Section: Robotic Vision Based Localizationmentioning

confidence: 99%

Efficient neural network approach of self-localization for humanoid robot

Chang

Hsia

et al. 2009

2009 Joint Conferences on Pervasive Computing (JCPC)

View full text Add to dashboard Cite

show abstract

“…This method is reported to be highly reliable and have strong real-time performance. However, the accuracy of the technique proposed by Zhang et al [9] is not mentioned. Dixon et al [10] presented a new continuous observer for determining the range information of an object moving with affine motion dynamics and known motion parameters using one camera.…”

Section: Introductionmentioning

confidence: 99%

“…In their method, the processing time is long and that the object is restricted to a plane which is vertical on the optical axis. Zhang et al [9] proposed a method of object distance measurement based on a particle filter. This method is reported to be highly reliable and have strong real-time performance.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Object Distance Measurement using a Monocular Camera

Alizadeh¹,

Ƶeinali²

2013

Modelling and Simulation / 804: Signal and Image Processing

View full text Add to dashboard Cite

Distance measurement for moving object using image processing is one of the important research areas in robotics and computer vision. In the current paper, an improved method is proposed to compute the distance of the moving object using a monocular camera and based on the feature extraction method. First, the specific object is tracked by a camera and then the distance from the object to the camera is measured using a computationally efficient algorithm that is implemented in MATLAB/ SIMULINK environment. Experimental results show that this method is fast, efficient, and accurate and can be used for real-time robotic applications.

show abstract

Study on Distance Measure Based on Monocular Vision

Cited by 2 publications

References 3 publications

Efficient neural network approach of self-localization for humanoid robot

Efficient neural network approach of self-localization for humanoid robot

A Real-Time Object Distance Measurement using a Monocular Camera

Contact Info

Product

Resources

About