Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Pretto, Alberto"'
Autor:
Olivastri, Emilio, Pretto, Alberto
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA), 2024, pp. 10283-10289
In SLAM (Simultaneous localization and mapping) problems, Pose Graph Optimization (PGO) is a technique to refine an initial estimate of a set of poses (positions and orientations) from a set of pairwise relative measurements. The optimization procedu
Externí odkaz:
http://arxiv.org/abs/2405.08503
Publikováno v:
IEEE ICRA Workshop on Field Robotics 2024
The increasing demand for underwater vehicles highlights the necessity for robust localization solutions in inspection missions. In this work, we present a novel real-time sonar-based underwater global positioning algorithm for AUVs (Autonomous Under
Externí odkaz:
http://arxiv.org/abs/2405.01971
Publikováno v:
Proceedings of the 2024 International Conference on 3D Vision (3DV)
Neural Radiance Fields (NeRFs) have shown impressive results for novel view synthesis when a sufficiently large amount of views are available. When dealing with few-shot settings, i.e. with a small set of input views, the training could overfit those
Externí odkaz:
http://arxiv.org/abs/2403.14412
Autor:
Donadi, Ivano, Olivastri, Emilio, Fusaro, Daniel, Li, Wanmeng, Evangelista, Daniele, Pretto, Alberto
Publikováno v:
Proceedings of the 14th International Conference on Computer Vision Systems (ICVS 2023)
Autonomous navigation in underwater environments presents challenges due to factors such as light absorption and water turbidity, limiting the effectiveness of optical sensors. Sonar systems are commonly used for perception in underwater operations a
Externí odkaz:
http://arxiv.org/abs/2308.01058
Autor:
Donadi, Ivano, Pretto, Alberto
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3498-3505, April 2024
Object pose estimation is a fundamental computer vision task exploited in several robotics and augmented reality applications. Many established approaches rely on predicting 2D-3D keypoint correspondences using RANSAC (Random sample consensus) and es
Externí odkaz:
http://arxiv.org/abs/2307.11543
Autor:
Evangelista, Daniele, Olivastri, Emilio, Allegro, Davide, Menegatti, Emanuele, Pretto, Alberto
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 11474-11480
Hand-eye calibration is the problem of estimating the spatial transformation between a reference frame, usually the base of a robot arm or its gripper, and the reference frame of one or multiple cameras. Generally, this calibration is solved as a non
Externí odkaz:
http://arxiv.org/abs/2303.04747
Publikováno v:
In: Ang, M.H., Khatib, O., Siciliano, B. (eds) Encyclopedia of Robotics. Springer, Berlin, Heidelberg (2023)
A software architecture defines the blueprints of a large computational system, and is thus a crucial part of the design and development effort. This task has been explored extensively in the context of mobile robots, resulting in a plethora of refer
Externí odkaz:
http://arxiv.org/abs/2206.03233
Publikováno v:
In: Ang, M.H., Khatib, O., Siciliano, B. (eds) Encyclopedia of Robotics. Springer, Berlin, Heidelberg (2023)
A sensor is a device that converts a physical parameter or an environmental characteristic (e.g., temperature, distance, speed, etc.) into a signal that can be digitally measured and processed to perform specific tasks. Mobile robots need sensors to
Externí odkaz:
http://arxiv.org/abs/2206.03223
Autor:
Fusaro, Daniel, Olivastri, Emilio, Evangelista, Daniele, Imperoli, Marco, Menegatti, Emanuele, Pretto, Alberto
Publikováno v:
Proceedings of the 17th International Conference on Intelligent Autonomous Systems (IAS 2022)
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation. This paper proposes and evaluates a real-time machine learning-based Traversab
Externí odkaz:
http://arxiv.org/abs/2206.03083
Publikováno v:
Proceedings of the 17th International Conference on Intelligent Autonomous Systems (IAS 2022)
A guiding robot aims to effectively bring people to and from specific places within environments that are possibly unknown to them. During this operation the robot should be able to detect and track the accompanied person, trying never to lose sight
Externí odkaz:
http://arxiv.org/abs/2206.02735