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Dario Lodi Rizzini
Researcher at University of Parma
Publications - 45
Citations - 545
Dario Lodi Rizzini is an academic researcher from University of Parma. The author has contributed to research in topics: Simultaneous localization and mapping & Robot. The author has an hindex of 11, co-authored 41 publications receiving 374 citations.
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Journal ArticleDOI
Investigation of Vision-Based Underwater Object Detection with Multiple Datasets
TL;DR: A novel multi-feature object detection algorithm conceived to find human-made artefacts lying on the seabed is described and the effectiveness of the proposed approach has been experimentally demonstrated.
Journal ArticleDOI
Fast Keypoint Features From Laser Scanner for Robot Localization and Mapping
TL;DR: One of the proposed features, termed FALKO-BSC, achieves higher repeatability score and similar descriptor performance compared with the FLIRT state-of-the-art feature and is also shown to enable effective localization.
Journal ArticleDOI
Autonomous Underwater Intervention: Experimental Results of the MARIS Project
Enrico Simetti,Francesco Wanderlingh,Sandro Torelli,Marco Bibuli,Angelo Odetti,Gabriele Bruzzone,Dario Lodi Rizzini,Jacopo Aleotti,Gianluca Palli,Lorenzo Moriello,Umberto Scarcia +10 more
TL;DR: The Italian MARIS project as discussed by the authors developed a control framework, the mechatronic integration, and the project's final experimental results on floating underwater intervention for underwater manipulation and transportation tasks.
Journal ArticleDOI
Integration of a stereo vision system into an autonomous underwater vehicle for pipe manipulation tasks
TL;DR: Experiments in an outdoor water pool in different light conditions show that the adopted algorithmic approach allows detection of target pipes and provides a sufficiently accurate estimation of their pose even when they become partially visible, thereby supporting the AUV in several successful pipe grasping operations.
Proceedings ArticleDOI
Efficient loop closure based on FALKO lidar features for online robot localization and mapping
TL;DR: Novel loop closure methods based on FALKO keypoints are presented and their performance in online localization and mapping problems is compared.