Spatial tracking is one of the most challenging and im-portant parts of Mixed Reality environments. Many applications, especially in the domain of Augmented Reality, rely on the fusion of several tracking systems in order to optimize the overall performance. While the topic of spatial tracking sensor fusion has already seen considerable interest, most results only deal with the integration of carefully arranged setups as opposed to dynamic sensor fusion setups. A crucial prerequisite for correct sensor fusion is the temporal alignment of the tracking data from sev-eral sensors. Tracking sensors are typically encoun-tered in Mixed Reality applications, are generally not synchronized. We present a general method to cali-brate the temporal off...
In this paper, we focus on solving the time delay as a separateproblem to the reconstruction of the ...
The optimum methodology of estimating and tracking target location parameters (e.g., range and beari...
Sensor fusion is concerned with gaining information from multiple sensors by fusing across raw data,...
Spatial tracking is one of the most challenging and important parts of Mixed Reality environments. M...
Abstract: Spatial tracking is one of the most challenging and important parts of mixed reality envir...
A virtual reality (VR) system tracks one or more objects to generate the depiction of a virtual envi...
Robust and accurate pose estimation of moving systems is a challenging task that is often tackled by...
Sensor fusion algorithms often assume perfect time synchronization of the sensor clocks. In a practi...
Time delay estimation (TDE) is a growing area of mathematical research, finding applications in a wi...
International audienceThe concept of Mixed Reality (MR) aims at completing our perception of the rea...
When combining data from various sensors it is vital to acknowledge possible measurement delays. Fur...
In multisensor systems, the signal processing delay, measurement acquisition delay, and other factor...
Tracking the movement of objects using multiple sensors (such as tracking vehicles or people using a...
International audienceOne of the key problems in Augmented Reality systems, is the synchronization o...
Accurate and robust calibration is an essential prerequisite for multi-rate sensors fusion. However,...
In this paper, we focus on solving the time delay as a separateproblem to the reconstruction of the ...
The optimum methodology of estimating and tracking target location parameters (e.g., range and beari...
Sensor fusion is concerned with gaining information from multiple sensors by fusing across raw data,...
Spatial tracking is one of the most challenging and important parts of Mixed Reality environments. M...
Abstract: Spatial tracking is one of the most challenging and important parts of mixed reality envir...
A virtual reality (VR) system tracks one or more objects to generate the depiction of a virtual envi...
Robust and accurate pose estimation of moving systems is a challenging task that is often tackled by...
Sensor fusion algorithms often assume perfect time synchronization of the sensor clocks. In a practi...
Time delay estimation (TDE) is a growing area of mathematical research, finding applications in a wi...
International audienceThe concept of Mixed Reality (MR) aims at completing our perception of the rea...
When combining data from various sensors it is vital to acknowledge possible measurement delays. Fur...
In multisensor systems, the signal processing delay, measurement acquisition delay, and other factor...
Tracking the movement of objects using multiple sensors (such as tracking vehicles or people using a...
International audienceOne of the key problems in Augmented Reality systems, is the synchronization o...
Accurate and robust calibration is an essential prerequisite for multi-rate sensors fusion. However,...
In this paper, we focus on solving the time delay as a separateproblem to the reconstruction of the ...
The optimum methodology of estimating and tracking target location parameters (e.g., range and beari...
Sensor fusion is concerned with gaining information from multiple sensors by fusing across raw data,...