Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hosam Alqaderi"'
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
In stochastic estimation problems, we aim to estimate an unknown state of interest given a set of measurements received from noisy sensory devices, such as radar, light detection and ranging, etc. A common model of the measurements' random error is w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c8f425c87804213c1ecfb99e67d3b49
https://publica.fraunhofer.de/handle/publica/435622
https://publica.fraunhofer.de/handle/publica/435622
Publikováno v:
2021 IEEE 24th International Conference on Information Fusion (FUSION).
Autor:
Hosam Alqaderi, Felix Govaers
Publikováno v:
MFI
In many data fusion applications, the parameter of interest only takes positive values. For example, it might be the goal to estimate a distance or to count instances of certain items. Optimal data fusion then should model the system state as a posit
Publikováno v:
SDF
This paper presents an approach for tracking extended targets using measurements from Light Detection and Ranging (LiDAR), where the measurement's source is distributed on the contour of the target extent. An Extended Kalman Filter (EKF) is used to e
Autor:
Hosam Alqaderi, Raymond Schulz
Publikováno v:
SDF
The use of grid-maps is a common approach in autonomous driving applications to register information about a vehicle’s surroundings. Due to the high randomness of the environment and the uncertainty of the vehicle sensory system, a grid-map should