Localization of object edges in arbitrary spatial positions based on ultrasonic data

Krammer, Peter; Schweinzer, Herbert

doi:10.1109/jsen.2005.860359

Cited by 30 publications

(10 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The point cloud is the basic data set for further extraction of phenotyping attributes ( Paproki et al , 2012 ; Paulus et al , 2013 ) and can be generated by many technologies, such as a 3D digitizer ( Falster and Westoby, 2003 ; Zheng et al , 2008 ), LiDAR ( Omasa et al , 2007 ), time-of-flight laser ( Kazmi et al , 2014 ), and ultrasonic sensing ( Krammer and Schweinzer, 2006 ). Compared with other technologies, image acquisition techniques provide an economic, efficient, and convenient method to generate point clouds in a range of plant science applications ( Chapman et al , 2014 ; Lou et al , 2014 ; Pound et al , 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes

Duan

Chapman

Holland

et al. 2016

EXBOTJ

103

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes

Duan

Chapman

Holland

et al. 2016

EXBOTJ

103

View full text Add to dashboard Cite

show abstract

“…Such is the case shown in [17], which extracts patterns from consecutive frames of 2-D images to localize the vision system within the environment; with the same insight, [18] uses infrared images to recognize patterns associated with a given target and to localize such a target within the environment; in [19], the authors use edges detection from ultrasonic data for objects localization within unknown environments. In [20], the authors use beacons-strategically placed over a given environment-to localize a mobile anchor.…”

Section: Introductionmentioning

confidence: 99%

Covariance-Based Measurement Selection Criterion for Gaussian-Based Algorithms

Cheein

2013

Entropy

View full text Add to dashboard Cite

Abstract:Process modeling by means of Gaussian-based algorithms often suffers from redundant information which usually increases the estimation computational complexity without significantly improving the estimation performance. In this article, a non-arbitrary measurement selection criterion for Gaussian-based algorithms is proposed. The measurement selection criterion is based on the determination of the most significant measurement from both an estimation convergence perspective and the covariance matrix associated with the measurement. The selection criterion is independent from the nature of the measured variable. This criterion is used in conjunction with three Gaussian-based algorithms: the EIF (Extended Information Filter), the EKF (Extended Kalman Filter) and the UKF (Unscented Kalman Filter). Nevertheless, the measurement selection criterion shown herein can also be applied to other Gaussian-based algorithms. Although this work is focused on environment modeling, the results shown herein can be applied to other Gaussian-based algorithm implementations. Mathematical descriptions and implementation results that validate the proposal are also included in this work.

show abstract

“…These systems have been improved for more reliability by transducer modeling and by including acoustic propagation and reflection properties in their models [6]. Recently systems have been reported which can obtain 3D position information using only a single sensor [7,8]. In systems employing more than one receiver the binaural configuration is the most common one.…”

Section: Introductionmentioning

confidence: 99%

An accurate compact ultrasonic 3D sensor using broadband impulses requiring no initial calibration

Walter

Schweinzer

2012

2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings

View full text Add to dashboard Cite

A compact 3D ultrasonic sensor for scene analysis is presented in this paper. A centered transmitter emits a broadband ultrasonic impulse which is reflected by obstacles in the environment. Reflected waves, if propagated back to the sensor, are then received by four identical ultrasonic microphones. These signals are used to provide polar-and azimuth information based on time difference of arrival and in addition, by using a novel method presented in this paper, sub wavelength accurate distance measurements are possible as well. The used algorithm does not rely on the actual shape of the signal but only on its statistical properties. This is a great achievement because commercially available broadband ultrasonic transducers are typically piston membrane types which exhibit a strong frequency dependent radiation pattern. If measurements are performed outside of the main lobe, not only the signal amplitude is greatly reduced requiring algorithms capable of dealing with a low SNR but also the phase of the signal is affected yielding simple pulse compression techniques useless. The article includes a description of the problem, a comparison to existing systems, a theoretical treatment of the system configuration and experimental results demonstrating the performance of our sensor.

show abstract

Localization of object edges in arbitrary spatial positions based on ultrasonic data

Cited by 30 publications

References 15 publications

Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes

Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes

Covariance-Based Measurement Selection Criterion for Gaussian-Based Algorithms

An accurate compact ultrasonic 3D sensor using broadband impulses requiring no initial calibration

Contact Info

Product

Resources

About