| Efficient autonomous exploration planning of large-scale 3-d environments M Selin, M Tiger, D Duberg, F Heintz, P Jensfelt IEEE Robotics and Automation Letters 4 (2), 1699-1706, 2019 | 180 | 2019 |
| Receding-horizon lattice-based motion planning with dynamic obstacle avoidance O Andersson, O Ljungqvist, M Tiger, D Axehill, F Heintz 2018 IEEE Conference on Decision and Control (CDC), 4467-4474, 2018 | 52 | 2018 |
| Stream reasoning using temporal logic and predictive probabilistic state models M Tiger, F Heintz 2016 23rd International Symposium on Temporal Representation and Reasoning …, 2016 | 27 | 2016 |
| Incremental reasoning in probabilistic signal temporal logic M Tiger, F Heintz International Journal of Approximate Reasoning 119, 325-352, 2020 | 22 | 2020 |
| Online sparse Gaussian process regression for trajectory modeling M Tiger, F Heintz 2015 18th International Conference on Information Fusion (Fusion), 782-791, 2015 | 15 | 2015 |
| Gaussian process based motion pattern recognition with sequential local models M Tiger, F Heintz 2018 IEEE Intelligent Vehicles Symposium (IV), 1143-1149, 2018 | 11 | 2018 |
| Coverage path planning in large-scale multi-floor urban environments with applications to autonomous road sweeping D Engelsons, M Tiger, F Heintz 2022 International Conference on Robotics and Automation (ICRA), 3328-3334, 2022 | 7 | 2022 |
| Towards unsupervised learning, classification and prediction of activities in a stream-based framework M Tiger, F Heintz Thirteenth Scandinavian Conference on Artificial Intelligence, 147-156, 2015 | 6 | 2015 |
| A second screen journey to the cup: Twitter dynamics during the stanley cup playoffs D de Leng, M Tiger, M Almquist, V Almquist, N Carlsson 2018 Network Traffic Measurement and Analysis Conference (TMA), 1-8, 2018 | 5 | 2018 |
| Towards learning and classifying spatio-temporal activities in a stream processing framework M Tiger, F Heintz STAIRS 2014: Proceedings of the 7th European Starting AI Researcher …, 2014 | 5 | 2014 |
| Enhancing lattice-based motion planning with introspective learning and reasoning M Tiger, D Bergström, A Norrstig, F Heintz IEEE Robotics and Automation Letters 6 (3), 4385-4392, 2021 | 3 | 2021 |
| Bayesian optimization for selecting training and validation data for supervised machine learning D Bergström, M Tiger, F Heintz 31st Swedish AI Society Workshop (SAIS), 2019 | 1 | 2019 |
| Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles E Wiman, L Widén, M Tiger, F Heintz arXiv preprint arXiv:2310.17977, 2023 | | 2023 |
| On-Demand Multi-Agent Basket Picking for Shopping Stores M Tiger, D Bergström, SW Stranius, E Holmgren, D de Leng, F Heintz 2023 IEEE International Conference on Robotics and Automation (ICRA), 5793-5799, 2023 | | 2023 |
| Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems F Präntare, H Appelgren, M Tiger, D Bergström, F Heintz Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | | 2022 |
| Safety-Aware Autonomous Systems: Preparing Robots for Life in the Real World M Tiger Linköping University Electronic Press, 2022 | | 2022 |
| Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms F Präntare, M Tiger, D Bergström, H Appelgren, F Heintz International Workshop on the Foundations of Trustworthy AI Integrating …, 2020 | | 2020 |
| Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications: PhD Research Project Extended Abstract M Tiger, F Heintz 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS 2020), 2020 | | 2020 |
| Trafikverket-Projekt AI, Slutrapport M Tiger, G Eliertsen, D Jönsson Linköpings Universitet, 2019 | | 2019 |
| Unsupervised Spatio-Temporal Activity Learning and Recognition in a Stream Processing Framework M Tiger | | 2014 |
Fredrik HeintzProfessor of Computer Science, Linköping UniversityVerified email at liu.se
