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In this paper, we present a stereovision algorithm for real-time 6DoF ego-motion estimation, which integrates normalized cross-correlation-based feature tracking and 3D stereo information in the well-known Iterative Closest Point (ICP) scheme. The proposed ...
Vision-based inertial-aided navigation is gaining ground due to its many potential applications. In previous decades, the integration of vision and inertial sensors was monopolised by the defence industry due to its complexity and unrealistic economic burd ...
The invention relates to a surgical navigation system, comprising a microscope to which a 3D measuring apparatus is rigidly fixed, for localising objects within the field of operation. Markers are fixed to the objects the position of which is desirable to ...
Integrating visual and inertial sensors has become a common practice in navigation due to the increase in computer power, in algorithms advancement and in sensor improvements. One of the problems yet to be solved is the Simultaneous Localisation And Mappin ...
When animals explore an environment, they store useful spatial information in their brains. In subsequent visits, they can recall this information and thus avoid dangerous places or find again a food location. This ability, which may be crucial for the ani ...
The complexity of today's autonomous robots poses a major challenge for Artificial Intelligence. These robots are equipped with sophisticated sensors and mechanical abilities that allow them to enter our homes and interact with humans. For example, today's ...
The principal concept of navigation is to start from a known (initial) position and to ensure a continued and reliable localisation of the user during his/her movement. The initial position of the trajectory is usually obtained via GPS or defined by the us ...
Context of indoor navigation The objective of this research is to define and to implement a dedicated data model for indoor applications. Based on this specific model, route guidance and navigation algorithms can be integrated in order to develop applic ...
This paper addresses the problem of the odometry error estimation during the robot navigation. The robot is equipped with an external sensor (like laser range finder). Concerning the systematic error an augmented Kalman Filter is introduced. This filter es ...
INDOOR NAVIGATION PERFORMANCE ANALYSIS 1. Context of indoor navigation The objective of this research is to define and to implement a dedicated data model for indoor applications. Based on this specific model, route guidance and navigation algorithms ca ...
