Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Josip Cesic"'
Publikováno v:
The International Journal of Robotics Research. 37:585-610
In this paper we propose a simultaneous localization and mapping (SLAM) back-end solution called the exactly sparse delayed state filter on Lie groups (LG-ESDSF). We derive LG-ESDSF and demonstrate that it retains all the good characteristics of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1c509606c72de4d28e4e9bc5d3bccbb
https://doi.org/10.1177/0278364918767756
https://doi.org/10.1177/0278364918767756
Publikováno v:
Journal of Field Robotics. 35:578-595
Autonomous navigation of unmanned aerial vehicles (UAVs) in GPS-denied environments is a challenging problem, especially for small-scale UAVs characterized by a small payload and limited battery autonomy. A possible solution to the aforementioned pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f582ccc8e6083b2689ca3a78c973de2
https://doi.org/10.1002/rob.21762
https://doi.org/10.1002/rob.21762
Publikováno v:
IEEE transactions on cybernetics. 50(3)
This article proposes 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. Human body joints are modeled by matrix Lie groups, using special orthogonal gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d82e77ac91d5a2a767188402dd4b26f
https://pubmed.ncbi.nlm.nih.gov/31567105
https://pubmed.ncbi.nlm.nih.gov/31567105
Publikováno v:
Robotics and Autonomous Systems. 83:338-348
Reliable scene analysis, under varying conditions, is an essential task in nearly any assistance or autonomous system application, and advanced driver assistance systems (ADAS) are no exception. ADAS commonly involve adaptive cruise control, collisio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bda55b3cdb0eb75d28b2dbe9772d6a36
https://doi.org/10.1016/j.robot.2016.05.001
https://doi.org/10.1016/j.robot.2016.05.001
Publikováno v:
ROBOT 2017: Third Iberian Robotics Conference ISBN: 9783319708324
ROBOT (1)
ROBOT (1)
In this paper we present a Cooperative Cloud SLAM on Matrix Lie Groups (\(\text {C}^2\text {LEARS}\)), which enables efficient and accurate execution of simultaneous localization and environment mapping, while relying on integration of data from mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1928441192de8a5e38ade946bc88ad4
https://doi.org/10.1007/978-3-319-70833-1_26
https://doi.org/10.1007/978-3-319-70833-1_26
Publikováno v:
IROS
This paper proposes a new algorithm for human motion estimation using inertial measurement unit (IMU) measurements. We model the joints by matrix Lie groups, namely the special orthogonal groups SO(2) and SO(3), representing rotations in 2D and 3D sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c9e50dfb5e75ffa6e8cf8b467b59e18
https://doi.org/10.1109/iros.2017.8206016
https://doi.org/10.1109/iros.2017.8206016
Publikováno v:
IROS
Simultaneous Localization And Mapping (SLAM) is a core element of every modern mobile autonomous robot. The underlying engine of a SLAM system is its back-end, which aims at optimally estimating trajectory and the map of the robot’s environment bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0446f64d3f10bbf2df070a79ff42cd80
https://doi.org/10.1109/iros.2017.8202269
https://doi.org/10.1109/iros.2017.8202269
In this paper we propose a new state estimation algorithm called the extended information filter on Lie groups. The proposed filter is inspired by the extended Kalman filter on Lie groups and exhibits the advantages of the information filter with reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c76d5a181975a3958b85a8cbb4ee95f
https://www.bib.irb.hr/870157
https://www.bib.irb.hr/870157
Publikováno v:
IEEE Signal Processing Letters
Many physical systems evolve on matrix Lie groups and mixture filtering designed for such manifolds represent an inevitable tool for challenging estimation problems. However, mixture filtering faces the issue of a constantly growing number of compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692977e36194787545187dd3c5a7df4d
Publikováno v:
Humanoids
This paper proposes a new algorithm for full body human motion estimation using 3D marker position measurements. The joints are represented with Lie group members, including special orthogonal groups SO(2) and SO(3), and a special euclidean group SE(
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf394074d430d438aa2778af12fda98
https://www.bib.irb.hr/837760
https://www.bib.irb.hr/837760