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检索条件"机构=Laboratory For Autonomous Systems and Mobile Robotics"
60 条 记 录,以下是1-10 订阅
排序:
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image
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IFAC-PapersOnLine 2023年 第2期56卷 1003-1008页
作者: Ivan Bilić Filip Marić Ivan Marković Ivan Petrović University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics University of Toronto Space and Terrestrial Autonomous Robotic Systems Laboratory
autonomous manipulation systems operating in domains where human intervention is difficult or impossible (e.g., underwater, extraterrestrial or hazardous environments) require a high degree of robustness to sensing an... 详细信息
来源: 评论
GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation
arXiv
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arXiv 2024年
作者: Bilić, Ivan Marić, Filip Bonsignorio, Fabio Petrović, Ivan University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Croatia University of Toronto Institute for Aerospace Studies Space and Terrestrial Autonomous Robotic Systems Laboratory Canada
In autonomous robotics, measurement of the robot’s internal state and perception of its environment, including interaction with other agents such as collaborative robots, are essential. Estimating the pose of the rob...
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Towards Camera Parameters Invariant Monocular Depth Estimation in autonomous Driving
Towards Camera Parameters Invariant Monocular Depth Estimati...
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European Conference on mobile Robots (ECMR)
作者: Karlo Koledić Ivan Marković Ivan Petrović Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics University of Zagreb Zagreb Croatia
Monocular depth estimation is an effective approach to environment perception due to simplicity of the sensor setup and absence of multisensor calibration. Deep learning has enabled accurate depth estimation from a si...
来源: 评论
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image
arXiv
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arXiv 2023年
作者: Bilić, Ivan Marić, Filip Marković, Ivan Petrović, Ivan University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Croatia University of Toronto Space and Terrestrial Autonomous Robotic Systems Laboratory Canada
autonomous manipulation systems operating in domains where human intervention is difficult or impossible (e.g., underwater, extraterrestrial or hazardous environments) require a high degree of robustness to sensing an... 详细信息
来源: 评论
GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding
arXiv
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arXiv 2023年
作者: Koledić, Karlo Petrović, Luka Petrović, Ivan Marković, Ivan University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Zagreb Croatia
Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a single image, a traditionally ill-posed problem. However, these priors are oft... 详细信息
来源: 评论
MOFT: Monocular odometry based on deep depth and careful feature selection and tracking
MOFT: Monocular odometry based on deep depth and careful fea...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Karlo Koledić Igor Cvišić Ivan Marković Ivan Petrović University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Zagreb Croatia
autonomous localization in unknown environments is a fundamental problem in many emerging fields and the monocular visual approach offers many advantages, due to being a rich source of information and avoiding compara...
来源: 评论
Euclidean Equivariant Models for Generative Graphical Inverse Kinematics
arXiv
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arXiv 2023年
作者: Limoyo, Oliver Marić, Filip Giamou, Matthew Alexson, Petra Petrović, Ivan Kelly, Jonathan Institute for Aerospace Studies University of Toronto Canada Laboratory for Autonomous Systems and Mobile Robotics University of Zagreb Croatia
Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for robotic manipulation. Existing numerical solvers typically produce a single solution only and rely on local sea... 详细信息
来源: 评论
Human Localization in Warehouse Environments based on a Wearable Camera Sensor Suite and Dynamic Ultra-Wide Band Nodes  20
Human Localization in Warehouse Environments based on a Wear...
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20th International Conference on Advanced robotics, ICAR 2021
作者: Popovic, Goran Cviic, Igor Markovic, Ivan Petrovic, Ivan Laboratory For Autonomous Systems and Mobile Robotics University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia
Modern warehouses, equipped with an autonomous robots fleet, suffer from an efficiency deficit during human interventions in the shop floor area, since, during such interventions, all the robots must stop for safety r... 详细信息
来源: 评论
Stereo Visual Localization Dataset Featuring Event Cameras
Stereo Visual Localization Dataset Featuring Event Cameras
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European Conference on mobile Robots (ECMR)
作者: Antea Hadviger Vlaho-Josip Štironja Igor Cvišić Ivan Marković Sacha Vražić Ivan Petrović Laboratory for Autonomous Systems and Mobile Robotics University of Zagreb Faculty of Electrical Engineering and Computing Croatia Rimac Automobili Croatia
Visual odometry and SLAM methods are facing increasingly complex scenarios and novel solutions are needed to offer more accurate and reliable results in challenging environments. Standard cameras are challenged under ...
来源: 评论
RAVE: A Framework for Radar Ego-Velocity Estimation
RAVE: A Framework for Radar Ego-Velocity Estimation
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International Conference on Multisensor Fusion and Integration for Intelligent systems (MFI)
作者: Vlaho-Josip Štironja Luka Petrović Juraj Peršić Ivan Marković Ivan Petrović Laboratory for Autonomous Systems and Mobile Robotics (LAMOR) University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Calirad d.o.o. Zagreb Croatia
State estimation is an essential component of autonomous systems, usually relying on sensor fusion that integrates data from cameras, LiDARs and IMUs. Recently, radars have shown the potential to improve the accuracy ... 详细信息
来源: 评论