A Direct Localization Method for HF Source Geolocation and Experimental Results

2021 ◽  
pp. 1-1
Author(s):  
Nan Xia ◽  
Baohui Xing
Keyword(s):  
Experimental Results ◽  
Localization Method ◽  
Direct Localization

Localization and Follow-the-Leader Control of a Heterogeneous Group of Mobile Robots

2005 ◽  
Author(s):  
Jiangyang Huang ◽  
Shane M. Farritor ◽  
Ala’ Qadi ◽  
Steve Goddard
Keyword(s):  
Statistical Analysis ◽  
Mobile Robots ◽  
Control Method ◽  
Planetary Exploration ◽  
Highway Safety ◽  
Experimental Results ◽  
Work Zones ◽  
Localization Method ◽  
Control Traffic ◽  
Safety Applications

This paper investigates the control and localization of a heterogeneous (different sensor, mechanical, computational capabilities) group of mobile robots. The group considered here has several inexpensive sensor-limited and computationally-limited robots which follow a leader robot in a desired formation over long distances. This situation is similar to a search, de-mining, or planetary exploration situation where there are several deployable/disposable robots led by a more sophisticated leader. Specifically, the robots in this paper are designed for highway safety applications where they automatically deploy and maneuver safety barrels commonly used to control traffic in highway work zones. Complex sensing and computation are performed by the leader while the followers perform simple operations under the leader’s guidance. This architecture allows followers to be simple, inexpensive and have minimal sensors. Theoretical and statistical analysis of a tracking-based localization method is provided. A simple follow-the-leader control method is also presented. Experimental results of localization and follow-the-leader formation-motion are included.

Boundary Detection for Non-Ideal Iris Based on Gray Transform

2013 ◽  
Vol 441 ◽  
pp. 682-686
Author(s):  
Hong Lin Wan ◽  
Bao Sheng Li ◽  
Hong Sheng Li
Keyword(s):  
Iris Recognition ◽  
Outer Boundary ◽  
Boundary Detection ◽  
Recognition System ◽  
Experimental Results ◽  
Low Contrast ◽  
Localization Accuracy ◽  
Localization Method ◽  
Key Issues

Boundary localization is one of the key issues for reliable iris recognition system. For non-ideal iris images, eyelashes or eyelids occlusions and low contrast between iris and sclera will lead to inaccurate boundary localization. Specifically, if the intensive transition from iris to sclera is too smooth, outer boundary localization will be very difficult. To stress the problem, in this paper the boundary localization method is proposed in which nonlinear gray transformation is innovated in outer boundary localization process. The experimental results depict that our algorithm have improved the localization accuracy for non-ideal iris compared to the classical algorithms.

A Robust Boundary Localization for Degraded Iris Images

2013 ◽  
Vol 846-847 ◽  
pp. 986-990
Author(s):  
Tian Ping Li ◽  
Xiao Wei Wang
Keyword(s):  
Iris Recognition ◽  
Outer Boundary ◽  
Recognition System ◽  
Experimental Results ◽  
Gray Level ◽  
Low Contrast ◽  
Localization Accuracy ◽  
Localization Method ◽  
Key Issues

Boundary localization is one of the key issues for reliable iris recognition system. For degraded iris images, some frequently-occurred cases such as dominant texture patterns, eyelashes or eyelids occlusions, low contrast between iris and sclera, and pupil deviation, will lead to inaccurate boundary localization. Specifically, if the intensive transition from iris to sclera is too smooth, outer boundary localization will be very difficult. To stress the problem, in this paper the boundary localization method is proposed in which nonlinear gray-level transformation is innovated in outer boundary localization process. The experimental results depict that our algorithm have improved the localization accuracy for degraded iris compared to the classical algorithms.

Study on Odor Source Localization Method Based on Bionic Olfaction

2013 ◽  
Vol 448-453 ◽  
pp. 391-395 ◽  
Author(s):  
Jun Bao Zheng ◽  
Lei Yang ◽  
Jing Bo Chen ◽  
Ya Ming Wang
Keyword(s):  
Pattern Recognition ◽  
Nasal Cavity ◽  
Source Localization ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Odor Source ◽  
Pattern Recognition Algorithm ◽  
Localization Method ◽  
Localization System ◽  
Localization Ability

This paper proposes an odor source localization method based on bionic olfaction. The special nasal cavity and turnable head make mammalian have excellent odor source localization ability. According to this principle, a turnable bionic odor sensing device is proposed by this paper for odor source localization system. This sensing device can rotate freely within the range level 360°, and the detection directions of its sensing channels are different. This also proposes a pattern recognition algorithm based on K-L transform to analyze the data collected by odor sensing device, and the features of odor source are extracted correctly. Experimental results for odor source localization demonstrate the feasibility of the proposed approach.

scholarly journals A Novel Joint Localization Method for Acoustic Emission Source Based on Time Difference of Arrival and Beamforming

2020 ◽  
Vol 10 (22) ◽  
pp. 8045
Author(s):  
Xiaoran Wang ◽  
Xiandong Liu ◽  
Tian He ◽  
Junfei Tai ◽  
Yingchun Shan
Keyword(s):  
Acoustic Emission ◽  
Time Difference ◽  
Experimental Results ◽  
Emission Source ◽  
Time Difference Of Arrival ◽  
Localization Method ◽  
Advantages And Disadvantages ◽  
Acoustic Emission Source ◽  
Simulation And Experiment

Time difference of arrival (TDOA) method and beamforming method are often individually utilized in the localization of acoustic emission source of a plate. Based on the performances of the two methods, a novel joint localization method for acoustic emission source is proposed in this paper. Firstly, the performances of TDOA method and beamforming method are studied based on the simulation signals. Then, aiming at the advantages and disadvantages of these two methods, a joint localization method is proposed. Finally, the performances of joint localization method are verified by simulation and experiment. Both simulation and experimental results show that the accuracy of the joint localization method is improved, and the calculation amount is greatly reduced in comparison to the TDOA method and the beamforming method.

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