Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tim Pfeifer"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3e48c8f3c160e28ab2f510c120a370
https://doi.org/10.2139/ssrn.4396562
https://doi.org/10.2139/ssrn.4396562
Publikováno v:
NAVIGATION. 68:315-331
Factor graph optimization (FGO) recently has attracted attention as an alternative to the extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely and tightly coupled integrations of GNSS code pseudorange and INS measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fab5749e65784f3b7feb53e27a88aab4
https://doi.org/10.1002/navi.421
https://doi.org/10.1002/navi.421
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Robust and reliable online 3D multi-object tracking is an essential component of autonomous driving. Recent research follows the tracking-by-detection paradigm and focuses mainly on lidar sensors, due to their superior range, resolution and depth acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6298941fd853fdf2105196ae203ddb59
https://doi.org/10.1109/iv48863.2021.9575636
https://doi.org/10.1109/iv48863.2021.9575636
Gaussian mixtures are a powerful and widely used tool to model non-Gaussian estimation problems. They are able to describe measurement errors that follow arbitrary distributions and can represent ambiguity in assignment tasks like point set registrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cadda69334c81074650ca2f75159c606
Publikováno v:
IROS
Accurate and reliable tracking of multiple moving objects in 3D space is an essential component of urban scene understanding. This is a challenging task because it requires the assignment of detections in the current frame to the predicted objects fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef88ceb79bf696bbdc4254fe5d1445f0
http://arxiv.org/abs/2008.05309
http://arxiv.org/abs/2008.05309
Publikováno v:
PLANS
Accurate and globally referenced positioning is crucial to autonomous systems with navigation requirements, such as unmanned aerial vehicles (UAV) and autonomous driving vehicles (ADV). GNSS/LiDAR integration is a popular sensor pair that can provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::052723d2dfabe062e375ed00c930d204
https://doi.org/10.1109/plans46316.2020.9110157
https://doi.org/10.1109/plans46316.2020.9110157
Autor:
Tim Pfeifer, Peter Protzel
GNSS localization is an important part of today's autonomous systems, although it suffers from non-Gaussian errors caused by non-line-of-sight effects. Recent methods are able to mitigate these effects by including the corresponding distributions in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c31e819a1f86d81008c3b5181b0b4b4d
http://arxiv.org/abs/1904.13279
http://arxiv.org/abs/1904.13279
Autor:
Tim Pfeifer, Peter Protzel
Non-Gaussian and multimodal distributions are an important part of many recent robust sensor fusion algorithms. In difference to robust cost functions, they are probabilistically founded and have good convergence properties. Since their robustness de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30301255db708f2c85dff9bd0f79646b
http://arxiv.org/abs/1811.04748
http://arxiv.org/abs/1811.04748
Autor:
Tim Pfeifer, Peter Protzel
Publikováno v:
IROS
A fundamental problem of non-linear state estimation in robotics is the violation of assumptions about the sensors' error distribution. State of the art approaches reduce the impact of these violations with robust cost functions or predefined non-Gau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d5d6751d82dcac212dce669d7a07455
https://doi.org/10.1109/iros.2018.8594459
https://doi.org/10.1109/iros.2018.8594459
Publikováno v:
MFI
In robotics, non-linear least squares estimation is a common technique for simultaneous localization and mapping. One of the remaining challenges are measurement outliers leading to inconsistency or even divergence within the optimization process. Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1600359e1f6eb6780bec9a34dfbd1dc
https://doi.org/10.1109/mfi.2017.8170347
https://doi.org/10.1109/mfi.2017.8170347