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Ivan Petrović

Researcher at University of Zagreb

Publications -  258
Citations -  3638

Ivan Petrović is an academic researcher from University of Zagreb. The author has contributed to research in topics: Mobile robot & Motion planning. The author has an hindex of 28, co-authored 248 publications receiving 3002 citations. Previous affiliations of Ivan Petrović include Czech Technical University in Prague & University of Toronto.

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First beneficial results of the implementation of Croatian new law on salt iodination

TL;DR: As recent increase in urinary iodine excretion could not be simultaneously followed by reduction in goiter prevalence, in the following years further epidemiological surveys of iodine deficiency disorders shall be warranted.
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Autonomous Exploration of Large Unknown Indoor Environments for Dense 3D Model Building

TL;DR: A 3D exploration strategy for a mobile robot equipped with a 3D laser scanner that ensures on-line exploration of large unknown spaces and proposes a room detection algorithm to focus on the room-by-room exploration keeping the memory and computational requirements low.
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Raman Spectroscopy Characterization of Amorphous Coke Generated in Industrial Processes

TL;DR: In this paper , the intensity variation of D and G bands corresponding to the change of excitation laser energy to characterize and compare coke species from various industrial processes is presented, indicating the different degree of sp2 and sp3 hybridized bonding structures of amorphous carbon collected from different industrial processes.
Posted Content

Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking.

TL;DR: The appealing properties of the proposed temporal calibration method are: coordinate frame invariance, thus avoiding prior extrinsic calibration, theoretically grounded batch state estimation and interpolation using GPs, computational efficiency with O(n) complexity, leveraging data already available in autonomous robot platforms, and the end result enabling 3D point-to-point extrinsics multisensor calibration.
Journal ArticleDOI

Estimation and Observability Analysis of Human Motion on Lie Groups

TL;DR: A framework for human-pose estimation from the wearable sensors that rely on a Lie group representation to model the geometry of the human movement is proposed, providing more accurate pose estimates, is not sensitive to gimbal lock, and more consistently estimates the covariances.