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Erik Schaffernicht
Erik Schaffernicht
Senior Lecturer, Örebro University
Verified email at oru.se - Homepage
Title
Cited by
Cited by
Year
Multi-modal sensor fusion using a probabilistic aggregation scheme for people detection and tracking
C Martin, E Schaffernicht, A Scheidig, HM Gross
Robotics and Autonomous Systems 54 (9), 721-728, 2006
792006
Enabling flow awareness for mobile robots in partially observable environments
TP Kucner, M Magnusson, E Schaffernicht, VH Bennetts, AJ Lilienthal
IEEE Robotics and Automation Letters 2 (2), 1093-1100, 2017
642017
Combining non selective gas sensors on a mobile robot for identification and mapping of multiple chemical compounds
B Victor Hernandez, E Schaffernicht, V Pomareda, AJ Lilienthal, S Marco, ...
Sensors 14 (9), 17331-17352, 2014
552014
Towards gas discrimination and mapping in emergency response scenarios using a mobile robot with an electronic nose
H Fan, V Hernandez Bennetts, E Schaffernicht, AJ Lilienthal
Sensors 19 (3), 685, 2019
532019
Robot assisted gas tomography—Localizing methane leaks in outdoor environments
VH Bennetts, E Schaffernicht, T Stoyanov, AJ Lilienthal, M Trincavelli
2014 IEEE International Conference on Robotics and Automation (ICRA), 6362-6367, 2014
532014
Support relation analysis and decision making for safe robotic manipulation tasks
R Mojtahedzadeh, A Bouguerra, E Schaffernicht, AJ Lilienthal
Robotics and Autonomous Systems 71, 99-117, 2015
392015
A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments
H Fan, VH Bennetts, E Schaffernicht, AJ Lilienthal
Sensors and Actuators B: Chemical 259, 183-203, 2018
382018
Weighted mutual information for feature selection
E Schaffernicht, HM Gross
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011
322011
On estimating mutual information for feature selection
E Schaffernicht, R Kaltenhaeuser, SS Verma, HM Gross
International Conference on Artificial Neural Networks, 362-367, 2010
322010
FireNose on mobile robot in harsh environments
Y Xing, TA Vincent, H Fan, E Schaffernicht, VH Bennetts, AJ Lilienthal, ...
IEEE Sensors Journal 19 (24), 12418-12431, 2019
282019
Are you still following me
S Müller, E Schaffernicht, A Scheidig, HJ Boehme, HM Gross
Proc. of the 3rd European Conference on Mobile Robots (ECMR2007), 2007
262007
Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot
MA Arain, V Hernandez Bennetts, E Schaffernicht, AJ Lilienthal
The International Journal of Robotics Research 40 (4-5), 782-814, 2021
242021
Efficient measurement planning for remote gas sensing with mobile robots
MA Arain, M Cirillo, VH Bennetts, E Schaffernicht, M Trincavelli, ...
2015 IEEE International Conference on Robotics and Automation (ICRA), 3428-3434, 2015
232015
Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments
Y Xing, TA Vincent, M Cole, JW Gardner, H Fan, VH Bennetts, ...
2017 IEEE SENSORS, 1-3, 2017
222017
TREFEX: Trend estimation and change detection in the response of MOX gas sensors
S Pashami, AJ Lilienthal, E Schaffernicht, M Trincavelli
Sensors 13 (6), 7323-7344, 2013
222013
Exploration and localization of a gas source with MOX gas sensors on a mobile robot—A Gaussian regression bout amplitude approach
M Vuka, E Schaffernicht, M Schmuker, VH Bennetts, F Amigoni, ...
2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose …, 2017
212017
Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes
VH Bennetts, E Schaffernicht, AJ Lilienthal, H Fan, TP Kucner, ...
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
212016
A novel approach for gas discrimination in natural environments with open sampling systems
VH Bennetts, E Schaffernicht, VP Sese, AJ Lilienthal, M Trincavelli
SENSORS, 2014 IEEE, 2046-2049, 2014
212014
Data-driven conceptual spaces: creating semantic representations for linguistic descriptions of numerical data
H Banaee, E Schaffernicht, A Loutfi
Journal of Artificial Intelligence Research 63, 691-742, 2018
192018
Forward feature selection using Residual Mutual Information.
E Schaffernicht, C Möller, K Debes, HM Gross
ESANN 1, 583-588, 2009
192009
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