Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Christian Lundquist"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 53:1055-1058
We comment on the errors in the formulation of Theorem 1 given in Extended Target Tracking Using a Gaussian-Mixture PHD Filter by K. Granstrom, C. Lundquist, and U. Orguner, and give a correct formulation.
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:663-672
In this paper, the measurements of individual wheel speeds and the absolute position from a global positioning system are used for high-precision estimation of vehicle tire radii. The radii deviation from its nominal value is modeled as a Gaussian ra
Publikováno v:
IEEE Transactions on Education. 56:261-267
Courses at the Master's level in automatic control and signal processing cover mathematical theories and algorithms for control, estimation, and filtering. However, giving students practical experience in how to use these algorithms is also an import
Publikováno v:
Automatica. 49:1566-1575
Knowledge of the noise distribution is typically crucial for the state estimation of general state-space models. However, properties of the noise process are often unknown in the majority of practical applications. The distribution of the noise may a
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 7:472-483
This paper presents a cardinalized probability hypothesis density (CPHD) filter for extended targets that can result in multiple measurements at each scan. The probability hypothesis density (PHD) filter for such targets has been derived by Mahler, a
Autor:
Christian Lundquist
Publikováno v:
Journal of Health & Medical Informatics.
Autor:
Thomas B. Schön, Christian Lundquist
Publikováno v:
Information Fusion. 12:253-263
We provide a sensor fusion framework for solving the problem of joint egomotion and road geometry estimation. More specifically we employ a sensor fusion framework to make systematic use of the measurements from a forward looking radar and camera, st
Publikováno v:
IFAC Proceedings Volumes. 44:12952-12957
This paper is concerned with vehicle motion estimation. The problem is formulated as a sensor fusion problem, where the vehicle motion is estimated based on the information from a far infrared camera, inertial sensors and the vehicle speed. This info
Publikováno v:
IFAC Proceedings Volumes. 39:510-515
Active front steering is an emerging steering technology for passenger cars that realizes a mechatronic superposition of an angle to the hand steering wheel angle that is prescribed by the driver. This contribution describes algorithms, used to ensur
Autor:
R. Groβheim, Christian Lundquist, W. Klier, Wolfgang Dr. Reinelt, Wolfgang Schuster, G. Reirnann
Publikováno v:
IFAC Proceedings Volumes. 37:679-684
Active Front Steering is a newly developed technology for passenger cars that realises an electronically controlled superposition of an angle to the hand steering wheel angle that is prescribed by the driver. It enables functionalities such as (vehic