Sentence examples for map building and from inspiring English sources

The efficiency of the proposed map building and path planning methods has been verified by experiments on a prototype mine detector robot.

The high-level subsystem uses fuzzy logic and the Dempster Shafer evidence theory to design a fusion of sensor data, map building, and path planning tasks.

Map building and localization are two topics in constant innovation as new methods are continuously appearing, and some of these methods may be mathematically complex.

This paper presents the real-time motion planning i.e., map building and path planning of an autonomous mobile manipulator capable of scanning natural terrain using a detector e.g., a landmine detector.

This year theme will be "Robots Roam the Halls", where we will focus on kinect-based robots that move in the SEAS buildings, to do applications like navigating, map building, and interacting with people.

If you want to be a Fortnite god, you can do that too, and mastering the map, building and engagements is an incredibly difficult prospect at the highest levels of the game.

Earthquake risk, seismic microzonation and intensity maps, building and population vulnerability maps, reports on damages and estimation of required resources are produced by applying empirically validated equations and spatial data analysis.

We are seeing the biggest potential impacts in mining exploration (dropping prices by 10x), agricultural surveying (increasing crop yield by 40 percent-plus), geographical mapping, building and insurance inspection, package delivery, search and rescue efforts and forestry inspection.

The proposed MPC framework is demonstrated through solutions to two challenging information gathering tasks: (1) Simultaneous planning, localization, and map building (SPLAM) and (2) Multi-robot Geolocation.

A TP-LINK TL-WN322G wireless card is adopted to gather RSS in the radio map building phase, and a 4965AGN card and a TL-WN322G wireless card are used in the localization phase.

In this paper, we describe a concurrent map-building and localization (CML) system based on a multi-hypotheses tracker that is able to build and refine autonomously the appearance map required for localization as the robot moves in the environment.