| 1. |
- Moebus, M., et al.
(author)
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Parametrization of acoustic images for the detection of human presence by mobile platforms
- 2010
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In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. - 1520-6149. - 9781424442966 ; , s. 3538-3541
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Conference paper (other academic/artistic)abstract
- We address the problem of human detection with mobile platforms such as robots. Instead of using an optical system, we propose to employ an acoustic 2D array to reliably obtain an image of a human in a 3D spatial power spectrum which is independent of lighting conditions and uses cheap acoustic sensors. We show that humans have a distinct acoustic signature and propose to model the echoes from reflecting parts of objects in the scene by a Gaussian-Mixture- Model. When it is fitted to the acoustic image, we can extract geometric relations between the present echoes and represent the acoustic signatures in a low-dimensional parameter space. We present results based on real data measurements that demonstrate that different objects can be reconstructed from the data and discriminated. The obtained parameter space forms the basis for subsequent detection and classification of humans. ©2010 IEEE.
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| 2. |
- Li, J., et al.
(author)
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Sensor Array and Multichannel Signal Processing
- 2011
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In: IEEE Signal Processing Magazine. - : Institute of Electrical and Electronics Engineers (IEEE). - 1558-0792 .- 1053-5888. ; 28:5, s. 157-158
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Journal article (peer-reviewed)abstract
- This article follows the ICASSP 2011 Trends in Sensor Array and Multichannel Signal Processing (SAM SP) expert session and represents our views on continuing and emergingresearch areas in this field.
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| 3. |
- Moebus, Marco, et al.
(author)
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Parameterization of Acoustic Signatures in Ultrasound Images for the Detection of Human Presence by Autonomous Vehicles
- 2010
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In: Proceedings of ICASSP 2010.
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Conference paper (peer-reviewed)abstract
- We address the problem of human detection for autonomousvehicles. Instead of using an optical system, we propose toemploy an acoustic 2D array to reliably obtain an image of ahuman in a 3D spatial power spectrum which is independentof lighting conditions and uses cheap ultrasound sensors.We show that humans have a distinct acoustic signature andpropose to model the echoes from reflecting parts of objectsin the scene by a Gaussian-Mixture-Model. When the model is fitted to the acoustic image, it is straightforward toobtain geometric relations between the present echoes andrepresent the acoustic signatures in a low-dimensional parameter space. We present results based on real data measurements that demonstrate that different objects can be reconstructed from the data and discriminated. The obtainedparameter space can then be the basis for subsequent detection and classification of humans.
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| 4. |
- Viberg, Henrik, et al.
(author)
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Whistler mode waves atmagnetotail dipolarization fronts
- 2014
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In: J GEOPHYS RES-SPACE. - 2169-9380. ; 119:4, s. 2605-2611
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Journal article (peer-reviewed)abstract
- We report the statistics of whistler mode waves observed in relation to dipolarization fronts (DFs) in Earth's magnetotail using data from the four Cluster spacecraft spanning a period of 9 years, 2001-2009. We show that whistler mode waves are common in a vicinity of DFs: between 30 and 60% of all DFs are associated with whistlers. Whistlers are about 7 times more likely to be observed near a DF than at any random location in the magnetotail. Therefore, whistlers are a characteristic signature of DFs. We find that whistlers are most often detected in the flux pileup region (FPR) following the DF, close to the center of the current sheet (B-x approximate to 0) and in association with anisotropic electron distributions (T>T-vertical bar). This suggests that we typically observe emissions in the source region where they are generated by the anisotropic electrons produced by the betatron process inside the FPR.
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