Journals

  • Erkent, Ö., Wolf, C., & Laugier, C. (2019). End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids. Unmanned Systems, 07(03), 171–181.
    • Ö. Erkent and C. Laugier, "Semantic Segmentation With Unsupervised Domain Adaptation Under Varying Weather Conditions for Autonomous Vehicles," in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 3580-3587, April 2020, doi: 10.1109/LRA.2020.2978666. (pdf)
  • Erkent, Ö., Wolf, C., & Laugier, C. (2019). End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids. Unmanned Systems, 07(03), 171–181.
  • Dadhichi Shukla, Ozgur Erkent and Justus H. Piater, “Learning Semantics of Gestural Instructions for Human-Robot Collaboration ”, NeuroRobotics, (2018): 1-15
  • Ö. Erkent, Karaoğuz, H., and H. I. Bozma, “Hierarchically self-organizing visual place memory”, Advanced Robotics, (2017): 1-15
  • Karaoğuz, H., Ö. Erkent, and H. I. Bozma. "RGB-D based place representation in topological maps." Machine Vision and Applications 25.8 (2014): 1913-1927. (pdf)
  • Erkent, Ö., H. I. Bozma, " Bubble Space and Place Representation in Topological Maps ", International Journal of Robotics Research, vol. 32, no. 6, pp. 671 – 688, 2013. (pdf)
  • Erkent, Ö., H. I. Bozma, " Artificial potential functions based camera movements and visual behaviors in attentive robots", Autonomous Robots, DOI: 10.1007/s10514-011-9240-5 32, pp: 15-34, 2012. (pdf)

Conferences

  • Diaz-Zapata, M., Sierra-Gonzalez, D., Erkent, Ö., Laugier, C., & Dibangoye, J. (2023, May). LAPTNet-FPN: Multi-scale LiDAR-aided Projective Transform Network for Real Time Semantic Grid Prediction. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 712-718). IEEE. (pdf)
  • David Sierra González, Anshul Paigwar, Özgür Erkent, Christian Laugier. MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs. ITSC 2022 - 25th IEEE International Conference on Intelligent Transportation Systems, Sep 2022, Macao, China. pp.1-8. (pdf)
  • Salazar-Gomez, G., González, D. S., Diaz-Zapata, M. A., Paigwar, A., Liu, W., Erkent, Ö., & Laugier, C. (2022, December). TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction. In ICARCV 2022-17th International Conference on Control, Automation, Robotics and Vision. (pdf)
  • Diaz-Zapata, M., Erkent, Ö., Laugier, C., Dibangoye, J., & Sierra-Gonzalez, D. (2022, December). LAPTNet: LiDAR-Aided Perspective Transform Network. In 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 281-286). IEEE. (pdf)
  • Erkent Ö., Gonzalez D.S., Paigwar A., Laugier C. (2021) GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids. In: Vincze M., Patten T., Christensen H.I., Nalpantidis L., Liu M. (eds) Computer Vision Systems. ICVS 2021. Lecture Notes in Computer Science, vol 12899. Springer, Cham. https://doi.org/10.1007/978-3-030-87156-7_15
  • Anshul Paigwar, David Sierra-Gonzalez, Özgür Erkent, Christian Laugier. Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR. International Conference on Computer Vision, ICCV, Workshop on Autonomous Vehicle Vision, Oct 2021, California, United States.
  • Manuel Diaz-Zapata, Özgür Erkent and Christian Laugier, "YOLO-based Panoptic Segmentation Network", Workshop: SE4ICPS @ COMPSAC 2021.
  • Zapata, Manuel Diaz, Özgür Erkent, and Christian Laugier. "Instance Segmentation with Unsupervised Adaptation to Different Domains for Autonomous Vehicles." ICARCV 2020-16th International Conference on Control, Automation, Robotics and Vision. 2020. (pdf)
  • González, D. S., Paigwar, A., Erkent, Ö., Dibangoye, J., & Laugier, C. (2020, December). Leveraging Dynamic Occupancy Grids for 3D Object Detection in Point Clouds. In 16th IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV). (pdf)
  • Hernandez, Andrés E. Gómez, Özgür Erkent, and Christian Laugier. "Recognize Moving Objects Around an Autonomous Vehicle Considering a Deep-learning Detector Model and Dynamic Bayesian Occupancy." 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2020. (pdf)
  • Anshul Paigwar, Özgür Erkent, David Sierra González, Christian Laugier. GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles. IROS 2020 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2020, Las Vegas, NV, United States. pp.2150-2156. (pdf)
  • Anshul Paigwar, Ozgur Erkent, Christian Wolf, Christian Laugier, Attentional PointNet for 3D-Object Detection in Point Clouds, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Ozgur Erkent, Christian Wolf, Christian Laugier, End-to-End Semantic Grid Estimation Deep Neural Network with Occupancy Grids, Apprentissage et Robotique Workshop (GDR ISIS + GDR Robotique), 2019
  • Ozgur Erkent, Christian Wolf, Christian Laugier, Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks, ICARCV 2018.
  • Ozgur Erkent, Christian Wolf, Christian Laugier , David Sierra Gonzalez, Victor Romero Cano. Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach, IEEE/RSJ International Conference on Robots and Systems (IROS), 2018
  • David Sierra González, Ozgur Erkent, Victor Romero-Cano, Christian Laugier, Jilles Dibangoye, Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices , IEEE/RSJ International Conference on Robotics and Automation, 2018.
  • Ozgur Erkent, Dadhichi Shukla, Justus Piater, Visual Task Outcome Verification Using Deep Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017. (pdf)
  • Dadhichi Shukla, Ozgur Erkent, Justus Piater, Proactive, Incremental Learning of Gesture-Action Associations For Human-Robot Collaboration. International Symposium on Robot and Human Interactive Communication, 2017
  • Dadhichi Shukla, Ozgur Erkent, Justus Piater, Supervised learning of gesture-action associations for human-robot collaboration. 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, 2017 (Workshop at the 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), Washington D.C., USA).
  • Lars Jensen, Kerstin Fischer, Franziska Kirstein, Dadhichi Shukla, Ozgur Erkent, Justus Piater, It Gets Worse Before it Gets Better; Timing of Instructions in Close Human-Robot Collaboration. 12th ACM/IEEE International Conference on Human-Robot Interaction, 2017. Extended Abstract.
  • Ozgur Erkent , Dadhichi Shukla, Justus Piater, Integration of Probabilistic Pose Estimates From Multiple Views, 2016, European Conference on Computer Vision (ECCV.)
  • Dadhichi Shukla, Ozgur Erkent, Justus Piater, A Multi-View Hand Gesture RGB-D Dataset for Human-Robot Interaction Scenarios, 2016, 25th International Symposium on Robot and Human Interactive Communication (RO-MAN.)
  • Dadhichi Shukla, Ozgur Erkent, Justus Piater, The IMHG dataset: A Multi-View Hand Gesture RGB-D Dataset for Human-Robot Interaction. Towards Standardized Experiments in Human Robot Interactions, 2015, to appear (Workshop at IROS). Extended Abstract.
  • Dadhichi Shukla, Ozgur Erkent, Justus Piater, Probabilistic detection of pointing directions for human robot interaction. International Conference on Digital Image Computing: Techniques and Applications, 2015.
  • Kerstin Fischer, Lars Jensen, Franziska Kirstein, Sebastian Stabinger, Ozgur Erkent, Dadhichi Shukla, Justus Piater, Roles of Social Gaze in Human-Robot Collaborative Assembly Tasks. International Conference on Social Robotics, 2015.
  • Shukla, D., Ö. Erkent, J. Piater, General Object Tip Detection and Pose Estimation for Robot Manipulation. 10th International Conference on Computer Vision Systems, pp. 364–374, 2015. Springer LNCS 9163. (pdf)
  • Erkent, Ö., H.I. Bozma, "Long-term topological place learning," Robotics and Automation (ICRA), 2015 IEEE International Conference on , vol., no., pp.5462,5467, 26-30 May 2015. (pdf)
  • Lopes, M., J. Peters, J. Piater, M. Toussaint, A. Baisero, B. Busch, Ö. Erkent, O. Kroemer, R. Lioutikov, G. Maeda, Y. Mollard, T. Munzer, D. Shukla, Semi-Autonomous 3rd-Hand Robot. Robotics in future manufacturing scenarios, 2015 (Workshop at the European Robotics Forum, Vienna, Austria). Extended Abstract. (pdf)
  • Kirstein, F., K. Fischer, Ö. Erkent, J. Piater, Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction. 10th ACM/IEEE International Conference on Human-Robot Interaction, pp. 145–146, 2015. Extended Abstract. (pdf)
  • Erkent, Ö., H.I. Bozma, “Integrating cue descriptors in bubble space for place recognition,” in 9th International Conference on Computer Vision Systems, LNCS 7963, St. Petersburg, 2013, pp. 314–323.
  • Erkent, Ö., H.I. Bozma, “Place Representation in Topological Maps Based on Bubble Space”, IEEE Int. Conf. on Robotics and Automation, USA, 2012 pp. 3497–3502. (pdf)
  • Erkent, Ö., H. I. Bozma, "Unmanned Systems Endowed with Attention", International UNMANNED VEHICLES Workshop, Turkey, 2010.
  • Cayci S, Erkent O, Bozma H I, "Attentive mobile robot visual maps via bubble memory" Perception 38 ECVP Abstract Supplement, page 47, 2009.
  • Erkent, Ö., H.I. Bozma, “ Color Based Saccades for Attention Control”, “10th European Conference on Computer Vision workshop: 'Vision in Action: Efficient strategies for cognitive agents in complex environments'”, Marseilles, France, October 2008
  • Özgür Erkent, B. Deniz İlhan and H.Işıl Bozma, "Local and Global Saccades", Gordon Research Conference: Sensory Coding & the Natural Environment, Montana, USA, 2006.
  • Ilhan, B.D., O. Erkent and H. I. Bozma. "Saccades and Fixating Using Artificial Potential Functions", Proceedings of IEEE/IRJ Conference on Intelligent Robots and Systems, pp: 5819-5824, 2006 (pdf)

Journals (Turkish)

  • Erkent Ö., and Bozma I "Gezgin Robotlar İçin Görsel Temelli Yönelim Ve Ortam Açiklik Bilgilerinin Kestirimi", Sigma Mühendislik ve Fen Bilimleri Dergisi, 5 (1), pp:74-85, 2013. (pdf)
  • Karaoguz H, Erkent Ö., and Bozma I "Topolojik Haritalarda 3B Uzaklik Ölçüm Bilgisine Dayali Yer Gösterimi", Sigma Mühendislik ve Fen Bilimleri Dergisi, 5 (1), pp:52-61, 2013. (pdf)
  • Karaoguz H, Erkent Ö., Bayram H. and Bozma I " Tek Robottan Çoklu Robotlara Ortam Haritalama ", EMO Bilimsel Dergi, 4 (2), 2013.

Patents

  • Erkent, O.; Gabriel Othmezouri; Laugier, C., 2020, A method and system of adapting an initial model of a neural network PCT-- patent application, filed March 20, 2020, Patent Pending.
  • Erkent, O.; Vignard, N.; Laugier, C.; Wolf, C., 2018, Semantic Occupancy Grid Segmentation, 2023-06-20 Application granted, US11682129B2

Conferences (Turkish)

  • Erkent, Ö. and Bozma I. "Robotlar için Görsel Temelli Yönelim ve ortam Açıklık Bilgilerinin Kestirimi", ASYU 2012 (Innovations and Aplications in Intelligent Systems Symposium),pp 75-79 Turkey, 2012
  • Karaoguz H, Erkent Ö. and Bozma I. "Topolojik Haritalarda 3B Uzaklik Olcum Bilgisine Dayali Yer Gösterimi", ASYU 2012 (Innovations and Aplications in Intelligent Systems Symposium),pp 153-157 Turkey, 2012
  • Erkent, Ö., H. I. Bozma, "Attentive Vision, Scene Representation and Bubble Space", IEEE 18th Signal Processing and Communication Applications Conference, Turkey, 2010 (pdf)
  • Erkent, Ö., H. I. Bozma, "Color in Attention Control", IEEE 17th Signal Processing and Communication Applications Conference, Turkey, 2009
  • Ilhan, B.D., O. Erkent and H. I. Bozma, "Yapay Gizilgüç İşlevleriyle Odaklanma Amaçlı Hızlı Hareketler", Automatic Control National Conference, Turkey, 2006
  • Ö. Erkent, S. Yagcioglu, "Satranç Oyuncularında Göz Hareketleri: Bir EOG Çalışması" (Eye Movements Among Chess Players: An EOG Study), 14th National Biophysics Conference, Ankara, Turkey, 2001.