Abstract: Spatial tracking is one of the most challenging and important 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 sensor fusion has already seen considerable interest, most results only deal with the integration of particular setups as opposed to dynamic sensor fusion setups. A crucial prerequisite for correct sensor fusion is the temporal alignment of the sensor signals, as sensors in general are not syn-chronized. We present a general method to calibrate the temporal offset between different sensors which can be used to perform on-line calibration. To show the correctn...
This thesis presents a new approach to multi-rate sensor fusion for (1) user matching and (2) positi...
This thesis develops an automatic spatiotemporal calibration routine for lidars and egomotion sensor...
The use of state space techniques to track targets using measurements from multiple sensors is consi...
Spatial tracking is one of the most challenging and important parts of Mixed Reality environments. M...
Spatial tracking is one of the most challenging and im-portant parts of Mixed Reality environments. ...
Accurate and robust calibration is an essential prerequisite for multi-rate sensors fusion. However,...
Sensor fusion is concerned with gaining information from multiple sensors by fusing across raw data,...
In recent decades, there has been rapid development of multi-sensor data fusion because of its versa...
To achieve accurate registration, the transformations which locate the tracking system components wi...
International audienceThe concept of Mixed Reality (MR) aims at completing our perception of the rea...
In multisensor systems, the signal processing delay, measurement acquisition delay, and other factor...
The purpose of this paper is to propose new, rigorous, more robust and reliable models and methods f...
Accurate registration between real and virtual objects is critical for Augmented Reality (AR) applic...
This paper presents a multi-view acquisition system using multi-modal sensors, composed of time-of-f...
Many applications in robotics require awareness of the state of the robot and its environment. Face...
This thesis presents a new approach to multi-rate sensor fusion for (1) user matching and (2) positi...
This thesis develops an automatic spatiotemporal calibration routine for lidars and egomotion sensor...
The use of state space techniques to track targets using measurements from multiple sensors is consi...
Spatial tracking is one of the most challenging and important parts of Mixed Reality environments. M...
Spatial tracking is one of the most challenging and im-portant parts of Mixed Reality environments. ...
Accurate and robust calibration is an essential prerequisite for multi-rate sensors fusion. However,...
Sensor fusion is concerned with gaining information from multiple sensors by fusing across raw data,...
In recent decades, there has been rapid development of multi-sensor data fusion because of its versa...
To achieve accurate registration, the transformations which locate the tracking system components wi...
International audienceThe concept of Mixed Reality (MR) aims at completing our perception of the rea...
In multisensor systems, the signal processing delay, measurement acquisition delay, and other factor...
The purpose of this paper is to propose new, rigorous, more robust and reliable models and methods f...
Accurate registration between real and virtual objects is critical for Augmented Reality (AR) applic...
This paper presents a multi-view acquisition system using multi-modal sensors, composed of time-of-f...
Many applications in robotics require awareness of the state of the robot and its environment. Face...
This thesis presents a new approach to multi-rate sensor fusion for (1) user matching and (2) positi...
This thesis develops an automatic spatiotemporal calibration routine for lidars and egomotion sensor...
The use of state space techniques to track targets using measurements from multiple sensors is consi...