A novel 3D position estimation system has been developed that uses the difference in the time-of-arrivals (TOA) of an ultrasonic wave from a single transmitter to numerous receivers fixed in 3D space. This is a different approach to traditional systems that use the actual time-of-flights (TOF) from the transmitter to the different receivers and triangulate the position of the transmitter. The new approach makes the system more accurate, makes the transmitter independent of the receivers and does not require the need of calculating the time delay term that is inherent in traditional systems due to delays caused by the electronic circuitry. This paper presents a thorough analysis of receiver configurations in the 2D and 3D system that lead to...
This paper describes an iterative Kalman Filter to increase the accuracy of a dynamic 3D position es...
Localization is the process of determining the current location of a target(s) within given coordina...
IEEE International Symposium on Intelligent Signal Processing (WISP), Madrid, Spain, 3 - 5 October, ...
This paper provides a genetic algorithm-based approach to calculate the optimal placement of receive...
This paper presents a neural network model for a three-dimensional ultrasonic position estimation sy...
3D positioning systems typically use actual time-of-flights for triangulation to determine the posit...
This paper presents an intelligent system identification methodology for the identification of a rea...
This work addresses 3D position sensing systems that estimate the location of a wave source by trian...
Typically, indoor positioning systems require higher precision than outdoor positioning systems. Out...
The necessity of navigation in people and mobile robots (MR) through specific environments (indoors ...
A mobile robot requires the perception of its local environment for position estimation. Ultrasonic ...
Ultrasonic positioning systems are used for various types of applications across a wide variety of f...
Abstract. A mobile robot requires the perception of its local environment for position estimation. U...
This work addresses a method for location of a wave source by observing the wave as it reaches vario...
In source localization problems, the relative geometry between sensors and source will influence the...
This paper describes an iterative Kalman Filter to increase the accuracy of a dynamic 3D position es...
Localization is the process of determining the current location of a target(s) within given coordina...
IEEE International Symposium on Intelligent Signal Processing (WISP), Madrid, Spain, 3 - 5 October, ...
This paper provides a genetic algorithm-based approach to calculate the optimal placement of receive...
This paper presents a neural network model for a three-dimensional ultrasonic position estimation sy...
3D positioning systems typically use actual time-of-flights for triangulation to determine the posit...
This paper presents an intelligent system identification methodology for the identification of a rea...
This work addresses 3D position sensing systems that estimate the location of a wave source by trian...
Typically, indoor positioning systems require higher precision than outdoor positioning systems. Out...
The necessity of navigation in people and mobile robots (MR) through specific environments (indoors ...
A mobile robot requires the perception of its local environment for position estimation. Ultrasonic ...
Ultrasonic positioning systems are used for various types of applications across a wide variety of f...
Abstract. A mobile robot requires the perception of its local environment for position estimation. U...
This work addresses a method for location of a wave source by observing the wave as it reaches vario...
In source localization problems, the relative geometry between sensors and source will influence the...
This paper describes an iterative Kalman Filter to increase the accuracy of a dynamic 3D position es...
Localization is the process of determining the current location of a target(s) within given coordina...
IEEE International Symposium on Intelligent Signal Processing (WISP), Madrid, Spain, 3 - 5 October, ...