Multi sensor 3D indoor localisation
We present an indoor localisation system that integrates different sensor modalities, namely
Wi-Fi, barometer, iBeacons, step-detection and turn-detection for localisation of pedestrians …
Wi-Fi, barometer, iBeacons, step-detection and turn-detection for localisation of pedestrians …
Using barometer for floor assignation within statistical indoor localization
This paper presents methods for floor assignation within an indoor localization system. We
integrate the barometer of the phone as an additional sensor to detect floor changes. In …
integrate the barometer of the phone as an additional sensor to detect floor changes. In …
Viewpoint selection–planning optimal sequences of views for object recognition
In the past decades most object recognition systems were based on passive approaches.
But in the last few years a lot of research was done in the field of active object recognition. In …
But in the last few years a lot of research was done in the field of active object recognition. In …
[BOOK][B] Machine learning and data mining in pattern recognition
P Perner, A Imiya - 2011 - Springer
The seventh event of the International Conference on Machine Learning and Data Mining
(MLDM) was held in New York (www. mldm. de) running under the umbrella of the world …
(MLDM) was held in New York (www. mldm. de) running under the umbrella of the world …
Aspects of optimal viewpoint selection and viewpoint fusion
In the past decades, most object recognition systems were based on passive approaches.
But in the last few years a lot of research was done in the field of active object recognition. In …
But in the last few years a lot of research was done in the field of active object recognition. In …
Continuous parametrization of normal distributions for improving the discrete statistical eigenspace approach for object recognition
C Gräßl, F Deinzer, H Niemann - 2003 - elib.bsu.by
Statistical approaches play an important role in computer vision, normal distributions
especially are widely used. In this paper we present a new approach for a continuous …
especially are widely used. In this paper we present a new approach for a continuous …
Autonomous vehicle steering based on evaluative feedback by reinforcement learning
KD Kuhnert, M Krödel - Machine Learning and Data Mining in Pattern …, 2005 - Springer
Steering an autonomous vehicle requires the permanent adaptation of behavior in relation
to the various situations the vehicle is in. This paper describes a research which implements …
to the various situations the vehicle is in. This paper describes a research which implements …
Scene Understanding from Aerospace Sensors: What can be Expected?
Automated scene understanding or interpretation is a fundamental problem of computer
vision. Its goal is to compute a formal description of the content and events that can be …
vision. Its goal is to compute a formal description of the content and events that can be …
Comparison of active SIFT-based 3D object recognition algorithms
Active object recognition aims to manipulate the sensor and its parameters, and interact with
the environment and/or the object of interest in order to gather more information to complete …
the environment and/or the object of interest in order to gather more information to complete …
Cost integration in multi-step viewpoint selection for object recognition
C Derichs, F Deinzer, H Niemann - Machine Learning and Data Mining in …, 2005 - Springer
During the last years, computer vision tasks like object recognition and localization were
rapidly expanded from passive solution approaches to active ones, that is to execute a …
rapidly expanded from passive solution approaches to active ones, that is to execute a …