Abstract:
Provided is a map building and position recognizing method using a mobile robot, wherein the method comprises: a providing step of providing the mobile robot including a detecting part, a storing part, a calculating part calculating plane features from point data, a controlling part connected to the calculating part and applying a calculation control signal, and a driving part moving depending on the driving control signal of the controlling part; a detecting step of allowing the detecting part to detect the point data for a peripheral area depending on the detection control signal of the controlling part; a plane feature extracting step of allowing the controlling part to extract the plane features using the point data detected by the detecting part and predetermined data in the storing part; and a data associating step of matching map data for a peripheral environment using a space relation derived from prior plane features and present plane features, wherein the map data for the peripheral area is obtained by the motion of the mobile robot, and the data associating step includes: a sampling step of selecting a pair of rotation matching plane features between the present plane features and the prior plane features; and a consensus step of estimating the space relation between the prior position of the mobile robot and the present position of the mobile robot using the pair of rotation matching plane features and identifying whether or not the pair of rotation matching plane features is included in a group of pairs of the plane features.
Abstract:
PURPOSE: A high-speed plane extraction method and a robot moving device using the same are provided to minimize loads on a memory by preventing unnecessary repeated calculations using a hierarchical division system. CONSTITUTION: A high-speed plane extraction method is as follows. A sensor unit detects sensor information including distance information on an object region(S10). Plane information is extracted based on the sensor information. Whether the extracted plane information fits or not is determined(S20). The identified plane information of the object region is expanded based on the obtained plane information(S30). The frame about the object region is divided into a plurality of sub frames, and the plane information is extracted and evaluated.
Abstract:
The present invention is to provide a plane extracting method, and a map building and position recognizing method having the same and using a mobile robot, wherein the map building and position recognizing method comprises: a providing step of providing the mobile robot including a detecting part, a storing part, a calculating part, a controlling part, and a driving part; a detecting step of allowing the detecting part to detect point data for a peripheral area depending on the detection control signal of the controlling part; a plane feature extracting step of allowing the controlling part to extract plane features using the point data detected by the detecting part and predetermined data in the storing part; and a data associating step of matching map data for a peripheral environment using a space relation derived from prior plane features and present plane features, wherein the map data for the peripheral area is obtained by the motion of the mobile robot. In the plane feature extracting step, a potential cue sequentially storing point data with cube units and data for the corresponding cube units, and a plane cue receiving the data for the cube units from the potential cue are used so that a plane extracting process for hierarchically and differentially partitioning the point data or integrating the plane features depending on the complexity of the peripheral environment is possible, wherein the point data with the cube units is generated by partitioning the point data for the peripheral environment into predetermined cube sizes, and the data for the cube units has single plane features after sequentially processed in the potential cue.
Abstract:
본 발명은, 센서부가 대상 영역에 대한 거리 정보를 포함하는 센서 정보를 감지하는 감지 단계와, 상기 감지 단계에서의 센서 정보에 기초하여 평면 정보를 추출하고 추출된 평면 정보에 대한 적합도를 판단하는 평면 정보 추출 평가 단계와, 상기 평면 정보 추출 평가 단계에서 얻어진 평면 정보에 기초하여 대상 영역의 확인된 평면 정보를 확장시키는 특징 정보 확장 단계를 구비하고, 상기 평면 정보 추출 평가는 대상 영역에 대하여 복수 개의 서브 프레임으로 분할하여 평면 정보를 추출 평가하는 것을 특징으로 하는 고속 평면 추출 방법 및 이를 이용한 로봇 이동 장치를 제공한다.