Year 2017:

auto 7. R. Castiñeira, J. E. Naranjo, M. Gil, F. Jimenez, P. Serra, A. Valejo, A. Asvadi, C. Premebida, M. Y. Aboualhoule, F. Nashashibi, “AUTOCITS – Regulation study for interoperability in the adoption of autonomous driving in European urban nodes,” 7th Transport Research Arena (TRA 2018), Vienna, Austria.
[project page] [link to pdf] [pdf] [presentation] [code] [result]
reflec17 6. A. Asvadi, L. Garrote, C. Premebida, P. Peixoto, U. Nunes, “Real-Time Deep ConvNet-based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data,” Robot 2017: Third Iberian Robotics Conference. Springer, 2017. (Book Chapter) DOI: 10.1007/978-3-319-70836-2_39
[project page] [link to pdf] [pdf] [presentation] [code] [video result]
fusion17  5. A. Asvadi, L. Garrote, C. Premebida, P. Peixoto, U. Nunes, “Multimodal Vehicle Detection: Fusing 3D-LIDAR and Color Camera Data,” Pattern Recognition Letters, Elsevier, 2017. (In Press) DOI: 10.1016/j.patrec.2017.09.038
[project page] [link to pdf] [pdf] [presentation] [code] [result]
DepthCN 4. A. Asvadi, L. Garrote, C. Premebida, P. Peixoto, and U. Nunes, “DepthCN: Vehicle Detection Using 3D-LIDAR and ConvNet,” accepted in IEEE 20th International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan.
[project page] [link to pdf] [pdf] [presentation] [code
ras_16_gait 3. J. Paulo, A. Asvadi, P. Peixoto and P. Amorim, “Human Gait Pattern Changes Detection System: A Multimodal Vision-based and Novelty Detection Learning Approach,” Biocybernetics and Biomedical Engineering, Elsevier, vol. 37, no. 2, pp. 701–717, 2017. DOI: 10.1016/j.bbe.2017.08.002
[project page] [link to pdf] [pdf] [presentation] [code] [result]
  ENBENG17

2. J. Paulo, L. Garrote, C. Premebida, A. Asvadi, D. Almeida, A. Lopes, P. Peixoto, “An Innovative Robotic Walker for Mobility Assistance and Lower Limbs Rehabilitation,” In Proceedings of  IEEE 5th Portuguese Meeting on Bioengineering (ENBENG), pp. 1-4, Coimbra, Portugal, February 2017. DOI: 10.1109/ENBENG.2017.7889450
[project page] [link to pdf] [pdf] [code]

 roman17 1. J. Paulo, L. Garrote, A. Asvadi, C. Premebida, P. Peixoto, “Short-Range Gait Pattern Analysis for Potential Applications on Assistive Robotics” accepted in 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2017), Lisbon, Portugal, August 2017.
[project page] [link to pdf] [pdf] [presentation] [code] [result]

Year 2016:

 itsc_16_rev 5. P. Girao*, A. Asvadi*, P. Peixoto, and U. Nunes, “3D Object Tracking in Driving Environment: a short review and a benchmark dataset,” In Proceedings of IEEE ITSC 2016, PPNIV16 Workshop, Rio de Janeiro, Brazil. DOI: 10.1109/ITSC.2016.7795523
*Both authors contributed equally to this work
[project page] [link to pdf] [pdf] [presentation] [code (needs KITTI dataset)] [result]
 itsc16_tracking 4. A. Asvadi*, P. Girao*, P. Peixoto, and U. Nunes, “3D Object Tracking using RGB and LIDAR Data,” In Proceedings of IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Rio de Janeiro, Brazil. DOI: 10.1109/ITSC.2016.7795718
*Both authors contributed equally to this work
[project page] [link to pdf] [pdf] [presentation] [code (needs KITTI dataset)] [result]
itsc16_depth 3. C. Premebida, L. Garrote, A. Asvadi, A. P. Ribeiro, and U. Nunes, “High-resolution LIDAR-based Depth Mapping using Bilateral Filter” In Proceedings of IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Rio de Janeiro, Brazil. DOI: 10.1109/ITSC.2016.7795953
[project page] [link to pdf] [pdf] [presentation] [code (needs KITTI dataset)] [result]
ras16_obs 2. A. Asvadi, C. Premebida, P. Peixoto, and U. Nunes, “3D Lidar-based Static and Moving Obstacle Detection in Driving Environments: an approach based on voxels and multi-region ground planes,” Robotics and Autonomous Systems, Elsevier, vol. 83, pp. 299–311, September 2016. DOI: 10.1016/j.robot.2016.06.007
[project page] [link to pdf] [pdf] [code] [result]
robot15_obs 1.  A. Asvadi, P. Peixoto, and U. Nunes, “Two-Stage Static/Dynamic Environment Modeling Using Voxel Representation,” Robot 2015: Second Iberian Robotics Conference. Springer International Publishing, vol. 1, pp. 465-476, 2016. (Book Chapter) DOI: 10.1007/978-3-319-27146-0_36
[project page] [link to pdf] [pdf] [bibtex] [presentation] [code (needs KITTI dataset)] [video result]

Year 2015:

itsc15_datmo 3. A. Asvadi, P. Peixoto, and U. Nunes, “Detection and Tracking of Moving Objects Using 2.5D Motion Grids,” In IEEE 18th International Conference on Intelligent Transportation Systems (ITSC 2015), pp. 788 – 793, Las Palmas, Spain, 2015. DOI: 10.1109/ITSC.2015.133
[project page] [link to pdf] [pdf] [presentation] [code (needs KITTI dataset)] [video result]
hinf15_col 2. A. Carvalho, A. Asvadi, C. Carona, A. Lopes, U. Nunes, “Mobility, Accessibility and Safety of People with Cerebral Palsy,” In Proceedings of 8th International Conference on Health Informatics (Healthinf 2015), 2015, Lisbon, Portugal. DOI: 10.5220/0005185502680275
[project page] [pdf] [code]
jscit15_rbf 1. M. Mohseni, R. Ghaderi, A. Asvadi, and M.Ezoji, “Selection of RBF Neural Network Parameters Based on Normalized Cut Clustering,” Journal of Soft Computing and Information Technology (JSCIT) , vol. 3, no. 4, pp. 48-54, 2015. ISSN: 2383-1006
[project page] [pdf] [code]

Years 2011-2014:

jcse15_idct 5.  A. Asvadi, H. Mahdavinataj, M. Karami and Y. Baleghi, “Online Visual Object Tracking Using Incremental Discriminative Color Learning,” CSI Journal on Computer Science and Engineering (JCSE), vol. 12, no. 2 & 4 (b), pp. 16-28, 2014. ISSN: 1735-9031
[project page] [pdf] [code] [video result]
aisp14_idct 4. A. Asvadi, H. Mahdavinataj, M. Karami and Y. Baleghi, “Incremental Discriminative Color Object Tracking” In Artificial Intelligence and Signal Processing, Springer International Publishing, vol. 427, pp. 71-81, 2014. (Book Chapter) DOI:10.1007/978-3-319-10849-0_8 
[project page] [link to pdf] [pdf] [presentation] [code] [video result]
ikt12_tracking. 3. A. Asvadi, M. Karami, Y. Baleghi, “Object Tracking Using Adaptive Object Color Modeling,” in Proceedings of 4th conference on information and knowledge technology (IKT2012), Babol, Iran, May 2012.
[project page] [pdf] [ppt] [code] [video result]
ijict11_rbf_tracking 2. A. Asvadi, M. Karami, Y. Baleghi, “Efficient Object Tracking Using Optimized K-means Segmentation and Radial Basis Function Neural Networks,” International Journal of Information and Communication Technology Research (IJICT), vol. 4, no. 1, pp. 29-39, December 2011. ISSN: 2251-6107 
[project page] [pdf] [link to pdf] [code]
mvip11_rbf_tracking 1. A. Asvadi, M. Karami, Y. Baleghi, H. Seyyedi, “Improved Object Tracking Using Radial Basis Function Neural Networks,” in Proceedings of 7th Iranian Machine Vision and Image Processing (MVIP2011), Tehran, Iran, November 2011. DOI: 10.1109/IranianMVIP.2011.6121604 
[project page] [pdf] [poster] [code]

Theses:

ijict11_rbf_tracking 2. Master of Electrical Engineering, “Object Tracking from Video Sequence (using color and texture information and RBF Networks)”, September 2012. (in Persian)
[project page] [pdf] [ppt] [code] [video result]
thesis08_bsc 1. Bachelor of Electrical Engineering, “Digital Audio Watermarking using LSB coding algorithm (and a review of audio watermarking methods)”, 2008. (in Persian)
[pdf]