ARNOLD annotated repository of navigational obstacles from LiDAR data
Authors:
- Michele MartelliMichele Martelli
- Nicoló FaggioniNFNicoló Faggioni
- Filippo PonziniFPFilippo Ponzini
Open Access
- 1 March 2026
- journal article
- Published by KEAI Publishing in Autonomous Transportation Research
- Vol. 2 (1) , 45-60
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- LiDAR target detection and classification for ship situational awareness: A hybrid learning approachApplied Ocean Research, 2025
- Pohang canal dataset: A multimodal maritime dataset for autonomous navigation in restricted watersThe International Journal of Robotics Research, 2023
- Multi-obstacle detection and tracking algorithms for the marine environment based on unsupervised learningOcean Engineering, 2022
- Estimation of berthing state of maritime autonomous surface ships based on 3D LiDAROcean Engineering, 2022
- Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentationRobotics and Autonomous Systems, 2018
- DBSCAN Revisited, RevisitedACM Transactions on Database Systems, 2017
- Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A SurveyIEEE Transactions on Intelligent Transportation Systems, 2017
- Fast Image-Based Obstacle Detection From Unmanned Surface VehiclesIEEE Transactions on Cybernetics, 2015
- Vision meets robotics: The KITTI datasetThe International Journal of Robotics Research, 2013
- Support-Vector NetworksMachine Learning, 1995