Tarlan Suleymanov

Alumni

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.

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

T. Suleymanov, “Route boundary inference with vision and LiDAR,” PhD Thesis, Oxford, United Kingdom, 2019.
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.

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.
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.
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.

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.
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.