In this paper we propose a probabilistic sequential model of Human-Robot Spatial Interaction (HRSI) using a well-established Qualitative Trajectory Calculus (QTC) to encode HRSI between a human and a mobile robot in a meaningful, tractable, and systematic manner. Our key contribution is to utilise QTC as a state descriptor and model HRSI as a probabilistic sequence of such states. Apart from th...

Accompanying the successful deployments of the IKONOS and QuickBird high-resolution satellite imagery (HRSI) systems have been a number of investigations into the utilisation of HRSI for the extraction of precise 3D metric information. Among the promising ‘alternative’ sensor orientation models investigated has been an approach based on affine projection. This model has previously been reported...

The high-resolution satellite imageries (HRSI) are as primary dataset for different applications such as DEM generation, 3D city mapping, change detection, monitoring, and deformation detection. The geo-location information of HRSI are stored in metadata called Rational Polynomial Coefficients (RPCs). There are many methods to improve and modify the RPCs in order to have a precise mapping. In t...

Mangrove forests are one of the most productive and carbon dense ecosystems that are only found at tidally inundated coastal areas. Forest canopy height is an important measure for modeling carbon and biomass dynamics, as well as land cover change. By taking advantage of the flat terrain and dense canopy cover, the present study derived digital surface models (DSMs) using stereo-photogrammetric...

High-resolution satellite imagery is a viable source of imagery for spatial data generation in a developing country such as Bhutan. Half-metre to 1m resolution HRSI has the potential to be used for topographic map compilation and 2.5m stereo imagery could be employed for DEM generation and for mapping in more remote, non-urban and non-agricultural areas. This paper overviews an ongoing project,...

As high-resolution satellite imagery (HRSI) attracts usage in a broader range of mapping and GIS applications, so the demand for higher 3D accuracy increases. One of the notable recent innovations in sensor orientation modelling for HRSI has been bias compensated RPC bundle adjustment, which has shown that geopositioning to high accuracy can be achieved with minimal ground control; indeed, only...

The demand for accurate and up-to-date spatial information is increasing and its availability is becoming more important for a variety of tasks. Today’s commercial high-resolution satellite imagery (HRSI) offers the potential to extract useful and accurate spatial information for a wide variety of mapping and GIS applications. The extraction of metric information from images is possible due to ...

Elevation data is an important component of geospatial database. This paper focuses on digital surface model (DSM) generation from high-resolution satellite imagery (HRSI). The HRSI systems, such as IKONOS and QuickBird have initialed a new era of Earth observation and digital mapping. The half-meter or better resolution imagery from Worldview-1 and the planned GeoEye-1 allows for accurate and ...

Purpose Social robots increasingly adopt service roles in the marketplace. While research is beginning to unravel implications for theory and practice, other scientific disciplines have amassed a wealth of empirical data assuming such roles. The purpose this paper synthesize these findings from role perspective with aim advancing human–robot interaction (HRSI). Design/methodology/approach A sys...