Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Gustaf Hendeby"'
Publikováno v:
Drone Systems and Applications, Vol 10, Iss 1, Pp 343-366 (2022)
This paper presents and experimentally evaluates an algorithm named Multiple Generalized Likelihood Ratio (MGLR) for detecting and estimating multiple consecutive measurement biases appearing frequently, in the case of non-redundant sensors; typicall
Externí odkaz:
https://doaj.org/article/28ec3f2290c5400498e48ae011eecb9d
Publikováno v:
Navigation, Vol 69, Iss 1 (2022)
GNSS receivers are vulnerable to spoofing attacks in which false satellite signals deceive receivers to compute false position and/or time estimates. This work derives and evaluates algorithms that perform spoofing mitigation by utilizing double diff
Externí odkaz:
https://doaj.org/article/b3d9497a516342ecaadef30c0e2407fb
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-16 (2017)
Abstract The ensemble Kalman filter (EnKF) is a Monte Carlo-based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear, and non-Gaussian state estimation problems. Its ability to handle state dimensions in the o
Externí odkaz:
https://doaj.org/article/0d5a618361e5454d9b68eb74bfe89a73
Autor:
Gabriele Bleser, Dima Damen, Ardhendu Behera, Gustaf Hendeby, Katharina Mura, Markus Miezal, Andrew Gee, Nils Petersen, Gustavo Maçães, Hugo Domingues, Dominic Gorecky, Luis Almeida, Walterio Mayol-Cuevas, Andrew Calway, Anthony G Cohn, David C Hogg, Didier Stricker
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0127769 (2015)
Today, the workflows that are involved in industrial assembly and production activities are becoming increasingly complex. To efficiently and safely perform these workflows is demanding on the workers, in particular when it comes to infrequent or rep
Externí odkaz:
https://doaj.org/article/d02be13f2c3d47ccbd9b2ff6eab58e42
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/94e687de1716496f9b49e6b3e318c71b
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
The particle filter (PF) has during the last decade been proposed for a wide range of localization and tracking applications. There is a general need in such embedded system to have a platform for efficient and scalable implementation of the PF. One
Externí odkaz:
https://doaj.org/article/fdb932a0431c42a4892ade1e114b8ac5
Autor:
Gustaf Hendeby, Kristin Nielsen
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:3191-3203
A static world assumption is often used when considering the simultaneous localization and mapping (SLAM) problem. In reality, especially when long-term autonomy is the objective, this is not valid. This paper studies a scenario where uniquely identi
Conventional direction of arrival (DOA) estimators are based on array processing using either time differences or beamforming. The proposed approach is based on the received power at each microphone, which enables simple hardware, low sampling freque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27d5da7cc8c20fc10da96d0ae92bdf5
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 24(3)
The increase in perception capabilities of connected mobile sensor platforms (e.g., self-driving vehicles, drones, and robots) leads to an extensive surge of sensed features at various temporal and spatial scales. Beyond their traditional use for saf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b59616205bcc7bf34545f320dee4b1b9
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191390
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191390
Autor:
Gustaf Hendeby, Kristin Nielsen
Robust and highly accurate position estimation in underground mines is investigated by considering a vehicle equipped with 2D laser scanners. A survey of available methods to process data from such sensors is performed with focus on feature extractio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5e2ab50a348ce1c2a4c4a4711ee9402
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185393
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185393