Sentence examples for robust localisation from inspiring English sources

For driving assistance systems, intelligent vehicles and autonomous robots to be viable in complex environments, it is necessary to have a reliable and robust localisation function.

In this paper, in addition to the typical sensory information provided by extereoceptive and proprioceptive sensors, it is shown how a priori approximate knowledge available in the form of a road map can be systematically fused within a Simultaneous Localisation and Map Building (SLAM) framework to obtain more accurate and robust localisation results.

Somatotopic fMRI mapping yielded robust localisation of motor representations of the hands, feet and tongue; with a success rate of up to 100% in healthy subjects [ 12].

It is important to point out that the MMTV-Luc2 model by design is not expected to be capable of detecting metastases (e.g. into the lungs) directly in living transgenic animals, primarily because of the robust localisation of mammary tissue in female mice.

For instance, robust localisation of Amphiphysin 1 to the periphery of assembling clathrin lattices depends on two distinct motifs that bind to two independent sites on the N-terminal beta-propeller domain of clathrin, which increases the affinity and specificity of the interaction [ 84].

The combined analysis of both conditions yielded a better signal-to-noise ratio, resulting in a more robust source localisation and a more accurate calculation of the amplitude over time.

The proteins that disappear, such as aPKC and Dlg, show a robust and stable localisation to the apical and lateral cortex respectively in the absence of damage.

Robust fitting enables successful localisation in the presence of clutter without the need for user interaction.

This paper examines the use of such techniques in the context of a key mining automation challenge: the development of robust and accurate equipment localisation systems.

In most cases, a comparable result was achieved indicating that the postulated molecular bridging is a relatively robust mechanism for the localisation of proteins to negatively curved membranes.

Based on the classifier output, identified elements are used as location waypoints to provide a robust and accurate mining equipment localisation estimate.