| LIDAR–camera fusion for road detection using fully convolutional neural networks L Caltagirone, M Bellone, L Svensson, M Wahde Robotics and Autonomous Systems 111, 125-131, 2019 | 350 | 2019 |
| Fast LIDAR-based road detection using fully convolutional neural networks L Caltagirone, S Scheidegger, L Svensson, M Wahde 2017 ieee intelligent vehicles symposium (iv), 1019-1024, 2017 | 278 | 2017 |
| LIDAR-based driving path generation using fully convolutional neural networks L Caltagirone, M Bellone, L Svensson, M Wahde 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 80 | 2017 |
| Learning traversability from point clouds in challenging scenarios M Bellone, G Reina, L Caltagirone, M Wahde IEEE Transactions on Intelligent Transportation Systems 19 (1), 296-305, 2017 | 38 | 2017 |
| Truck platooning based on lead vehicle speed profile optimization and artificial physics L Caltagirone, S Torabi, M Wahde 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 16 | 2015 |
| LiDAR–camera semi-supervised learning for semantic segmentation L Caltagirone, M Bellone, L Svensson, M Wahde, R Sell Sensors 21 (14), 4813, 2021 | 11 | 2021 |
| Lidar-camera co-training for semi-supervised road detection L Caltagirone, L Svensson, M Wahde, M Sanfridson arXiv preprint arXiv:1911.12597, 2019 | 11 | 2019 |
| Deep learning applications for autonomous driving L Caltagirone PQDT-Global, 2018 | 2 | 2018 |
| Human interaction solutions for intuitive motion generation of a virtual manikin L Caltagirone | 1 | 2014 |
| How to Tailor Entanglement in Multipartite Systems L Caltagirone | 1 | 2011 |
Mattias WahdeProfessor of Applied Artificial Intelligence, Chalmers University of TechnologyVerified email at chalmers.se
