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Tarlan Suleymanov

Alumni

Publications

2021

  • [PDF]T. Suleymanov, M. Gadd, D. De Martini, P. Newman, "The Oxford Road Boundaries Dataset", in Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Workshop on 3D-Deep Learning for Automated Driving (3D-DLAD), (Nagoya, Japan), July 2021.

2020

  • [PDF]T. Suleymanov, M. Gadd, L. Kunze, and P. Newman, “LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic,” in IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, OR, USA, 2020

2019

  • [PDF] T. Suleymanov, “Route boundary inference with vision and LiDAR,” PhD Thesis, Oxford, United Kingdom, 2019.
  • [PDF]T. Suleymanov, L. Kunze, and P. Newman, “Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, 2019.

2018

  • [PDF]T. Suleymanov, P. Amayo, and P. Newman, “Inferring Road Boundaries Through and Despite Traffic,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.
  • [PDF]L. Kunze, T. Bruls, T. Suleymanov, and P. Newman, “Reading between the Lanes: Road Layout Reconstruction from Partially Segmented Scenes,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.
  • [PDF]L. Kunze, T. Bruls, T. Suleymanov, and P. Newman, “Reading between the Lanes: Road Layout Reconstruction from Partially Segmented Scenes (Extended Abstract),” in Robotics Science and Systems (RSS) Workshop on Learning and Inference in Robotics: Integrating Structure, Priors and Models, 2018.

2016

  • [PDF]T. Suleymanov, L. M. Paz, P. Piniés, G. Hester, and P. Newman, “The Path Less Taken: A Fast Variational Approach for Scene Segmentation Used for Closed Loop Control,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
  • [PDF]L. M. Paz, T. Suleymanov, P. Piniés, G. Hester, and P. Newman, “On-line Scene Understanding for Closed Loop Control,” in Robotics: Science and Systems, Workshop on Geometry and Beyond: Representations, Physics, and Scene Understanding for Robotics, 2016.