dr. S. Hosseinyalamdary (Siavash)

Assistant Professor

About Me

I have been working on sensor fusion for autonomous driving purposes. By integrating several sensors, we overcome the shortages of individual sensors and improve the reliability of the system. I have applied Bayesian statistical framework to integrate various sensors to achieve different tasks. I have integrated the laser scanner and GNSS/IMU to track the moving objects adjacent to the autonomous vehicle.


By the advancement of machine learning, deep learning approaches are applied to more effectively integrate sensors and achieve higher accuracy. My students and I apply deep learning to integrate thermal and visual images for human detection. In addition, I have been developing an approach to simultaneously integrate and model the sensors connecting Bayesian and deep learning based sensor fusion.


Information Systems
Global Positioning System
Units Of Measurement
Information System
Information System


Hosseinyalamdary, S., & Balazadegan Sarvrood, Y. (2017). Error Modeling of Reduced IMU using Recurrent Neural Network. In Proceedings of the 8th international conference on Indoor Positioning and Indoor Navigation, 18-21 September 2017, Sapporo, Japan
Hosseinyalamdary, S., & Peter, M. (2017). Lane level localization : using images and HD maps to mitgate the lateral error. In C. Heipke (Ed.), Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (Vol. XLII-1/W1, pp. 129-134). (ISPRS Archives). Hannover: International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-1-W1-129-2017
Sarvrood, Y. B., Hosseinyalamdary, S., & Gao, Y. (2016). Visual-LiDAR Odometry Aided by Reduced IMU.ISPRS Int. J. Geo-Information, 5(1), 3. DOI: 10.3390/ijgi5010003
Hosseinyalamdary, S., & Yilmaz, A. (2016). A Bayesian approach to traffic light detection and mapping. ISPRS journal of photogrammetry and remote sensing, 125, 184-192. DOI: 10.1016/j.isprsjprs.2017.01.008
Hosseinyalamdary, S., & Yilmaz, A. (2016). Traffic Light Detection Using Conic Section Geometry. In L. Halounova (Ed.), Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-1, 2016 (pp. 191-200). (ISPRS Peer reviewd Annals; No. Vol. III-1). Prague: International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-annals-III-1-191-2016
Hosseinyalamdary, S. (2016). GIS-Aided traffic monitoring using multiple sensor integration. In S. Shekhar, & H. Xiong (Eds.), Encyclopedia of GIS (pp. -). Cham: Springer. DOI: 10.1007/978-3-319-23519-6_1620-1
Hosseinyalamdary, S., & Yilmaz, A. (2015). 3D Super-Resolution Approach For Sparse Laser Scanner Data. In ISPRS Geospatial Week 2015 28 Sep – 03 Oct 2015, La Grande Motte, France (Vol. II-3/W5, pp. 151-157). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprsannals-II-3-W5-151-2015
So, J., Dedes, G., Hosseinyalamdary, S., & Grejner-Brzezinsk, D. (2015). Development and evaluation of an enhanced surrogate safety assessment framework. Transportation Research Part C: Emerging Technologies, Special Issue: New Technologies and Emerging Methodologies in Road Safety, 50, 51-67.
Hosseinyalamdary, S., Balazadegan, Y., & Toth, C. (2015). Tracking 3D Moving Objects Based on GPS/IMU Navigation Solution, Laser Scanner Point Cloud and GIS Data. ISPRS international journal of geo-information, 4(3), 1301-1316. DOI: 10.3390/ijgi4031301

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University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 1-012
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  1-012
P.O. Box 217
7500 AE Enschede
The Netherlands

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