J. Ocón, I. Dragomir, A. Coles, A. Green, L. Kunze, R. Marc, C.J. Perez , T. Germa, V. Bissonnette, G. Scalise, and M. Foughali, "ADE: Autonomous DEcision making in very long traverses," in International Symposium on Artificial Intelligence, Robotics and Automation in Space (I-SAIRAS), 2020.
T. Suleymanov, M. Gadd, L. Kunze, and P. Newman, “LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic,” inIEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, OR, USA, 2020.
M. Gadd, D. De Martini, L. Marchegiani, L. Kunze, and P. Newman, “Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios,” inProceedings of the IEEE Intelligent Vehicles Symposium (IV), Workshop on Ensuring and Validating Safety for Automated Vehicles (EVSAV), 2020.
L. Sintini and L. Kunze, “Semi-Supervised Novelty Detection in Opportunistic Science Missions using Variational Autoencoders,” inProceedings of the British Machine Vision Conference (BMVC), 2020.
T. Bruls, H. Porav, L. Kunze, and P. Newman, “The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping,” inProceedings of the IEEE Intelligent Vehicles Symposium (IV) Paris, France. June 9-12, 2019, 2019.
T. Suleymanov, L. Kunze, and P. Newman, “Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR,” inIEEE International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, 2019.
T. Bruls, H. Porav, L. Kunze, and P. Newman, “Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation,” in2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, p. 831–838.
L. Kunze, T. Bruls, T. Suleymanov, and P. Newman, “Reading between the Lanes: Road Layout Reconstruction from Partially Segmented Scenes,” inIEEE 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),” inRobotics Science and Systems (RSS) Workshop on Learning and Inference in Robotics: Integrating Structure, Priors and Models, 2018.
L. Kunze, H. Karaoguz, J. Young, F. Jovan, J. Folkesson, P. Jensfelt, and N. Hawes, “SOMA: A Framework for Understanding Change in Everyday Environments Using Semantic Object Maps,” inIn Papers from the 2018 AAAI Fall Symposium on Reasoning and Learning in Real-World Systems for Long-Term Autonomy., 2018.
L. Kunze, N. Hawes, T. Duckett, M. Hanheide, and T. Krajnik, “Artificial Intelligence for Long-Term Robot Autonomy: A Survey,” inIEEE Robotics and Automation Letters, 2018.