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Ghazaleh Panahandeh
Ghazaleh Panahandeh
Volvo Group
No hi ha cap correu electrònic verificat
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Continuous hidden Markov model for pedestrian activity classification and gait analysis
G Panahandeh, N Mohammadiha, A Leijon, P Händel
IEEE Transactions on Instrumentation and Measurement 62 (5), 1073-1083, 2013
1592013
Vision-aided inertial navigation based on ground plane feature detection
G Panahandeh, M Jansson
IEEE/ASME transactions on mechatronics 19 (4), 1206-1215, 2013
912013
Calibration of the accelerometer triad of an inertial measurement unit, maximum likelihood estimation and Cramer-Rao bound
G Panahandeh, I Skog, M Jansson
2010 International Conference on Indoor Positioning and Indoor Navigation, 1-6, 2010
792010
Road friction estimation for connected vehicles using supervised machine learning
G Panahandeh, E Ek, N Mohammadiha
2017 IEEE intelligent vehicles symposium (IV), 1262-1267, 2017
442017
Calibration of an IMU-camera cluster using planar mirror reflection and its observability analysis
G Panahandeh, M Jansson, P Händel
IEEE Transactions on Instrumentation and Measurement 64 (1), 75-88, 2014
272014
Image moments for higher-level feature based navigation
A Dani, G Panahandeh, SJ Chung, S Hutchinson
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
272013
A state-space approach to dynamic nonnegative matrix factorization
N Mohammadiha, P Smaragdis, G Panahandeh, S Doclo
IEEE Transactions on Signal Processing 63 (4), 949-959, 2014
252014
Imitation learning for vision-based lane keeping assistance
C Innocenti, H Lindén, G Panahandeh, L Svensson, N Mohammadiha
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
242017
IMU-camera self-calibration using planar mirror reflection
G Panahandeh, M Jansson
2011 International Conference on Indoor Positioning and Indoor Navigation, 1-7, 2011
222011
Chest-mounted inertial measurement unit for pedestrian motion classification using continuous hidden Markov model
G Panahandeh, N Mohammadiha, A Leijon, P Händel
2012 IEEE International Instrumentation and Measurement Technology …, 2012
212012
Exploiting ground plane constraints for visual-inertial navigation
G Panahandeh, D Zachariah, M Jansson
Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium …, 2012
192012
Vision-aided inertial navigation using planar terrain features
G Panahandeh, M Jansson
2011 First International Conference on Robot, Vision and Signal Processing …, 2011
182011
Image-based floor segmentation in visual inertial navigation
GC Barceló, G Panahandeh, M Jansson
2013 IEEE International Instrumentation and Measurement Technology …, 2013
162013
Planar-based visual inertial navigation: Observability analysis and motion estimation
G Panahandeh, S Hutchinson, P Händel, M Jansson
Journal of Intelligent & Robotic Systems 82, 277-299, 2016
152016
Observability analysis of a vision-aided inertial navigation system using planar features on the ground
G Panahandeh, CX Guo, M Jansson, SI Roumeliotis
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
152013
Ground plane feature detection in mobile vision-aided inertial navigation
G Panahandeh, N Mohammadiha, M Jansson
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
132012
Driver route and destination prediction
G Panahandeh
2017 IEEE intelligent vehicles symposium (IV), 895-900, 2017
92017
IMU-camera data fusion: Horizontal plane observation with explicit outlier rejection
G Panahandeh, M Jansson, S Hutchinson
International Conference on Indoor Positioning and Indoor Navigation, 1-9, 2013
92013
Clustering driving destinations using a modified DBSCAN algorithm with locally-defined map-based thresholds
G Panahandeh, Å Niklas
Computational Multi Physics, Multi Scales and Multi Big Data in Transport …, 2015
82015
Automatically learning formal models from autonomous driving software
Y Selvaraj, A Farooqui, G Panahandeh, W Ahrendt, M Fabian
Electronics 11 (4), 643, 2022
52022
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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