Abstract:
PURPOSE: An autonomous return system, an autonomous mobile vehicle including the same, and an autonomous travel method of the autonomous mobile vehicle are provided to switch an absolute position estimation process and a relative position estimation process by setting the number of usable GPS(Global Positioning System) satellites as a judgment standard. CONSTITUTION: A location receiver receives position data of a main body. A satellite tracking part tracks the number of GPS(Global Positioning System) satellites(110). A driving method determination part determines a driving method according to the number of tracked GPS satellites. An operation part based on an absolute location includes an absolute location determination part and a first path setting part. An absolute position of a main body is determined by an absolute position determination part. A first route determination part outputs a return command to a driving control part. A controller(100) manages inputted and outputted information.
Abstract:
PURPOSE: A device for determining the velocity of an autonomous vehicle, an autonomous vehicle having the same and method for determining the velocity of the autonomous vehicle are provided to control the traveling speed of an autonomous vehicle according to the position and time of the movable obstacle. CONSTITUTION: In a device for determining the velocity of an autonomous vehicle, an autonomous vehicle having the same and method for determining the velocity of the autonomous vehicle, a body(110) automatically is movable and has a driving unit and a receiver. An autonomous vehicle(100) comprises a plurality of wheels(111). The autonomous vehicle receives the group of route points form a remote control unit(200). The receiver includes a sensor and a wireless communication device. A steering control apparatus generates a steering command.
Abstract:
PURPOSE: A local path planning method of an unnamed vehicle is provided to calculate the velocity of the vehicle and to reflect the topography of lattice corresponding regions. CONSTITUTION: A geographic information acquisition module collects the geographic information of a specific region. An obstacle information extraction module extracts the information of the obstacle in the specific region. A velocity calculation module calculates the velocity of an unmanned vehicle in each direction. The velocity calculation module generates a seed map based on a lattice system in each direction. A route extraction module calculates a route based on an optimum route setting algorithm.
Abstract:
본발명의무인자율차량에는주행중인주변지형에대한환경정보를수집하는센서모듈(10)과, 주행중인현재위치를추정하는위치추정모듈(20)과, 수집한각종정보로부터현재속한주행로의환경인식에적합한알고리즘을선정하고주행정보를최신화하여유지하는주행정보모듈(30)과, 처리되어진환경인식결과를도출하는지형감지처리모듈(80)이포함되고, 위치정보(a)로부터환경인식결과에따른 QoSour(Quality of Service)의선정과지형감지정보(b)로부터알고리즘적합도결과에따른 QoSmax(Quality of Service)의선정이이루어지고, 이에Δ = QoSmax - QoSour 조건과Δ > a 조건을순차적으로적용해최적의주행알고리즘이선택됨으로써알고리즘은행(Bank)과서비스품질척도(Degree of Service Quality)로부터최적의알고리즘이선정되고, 특히이로부터환경인식성능척도갱신되는특징을갖는다.
Abstract:
본 발명은 기 설정된 위치에서 기 설정된 방향의 적어도 하나의 물체를 포함하는 외부환경을 이미지로 획득하는 감지유닛, 상기 외부환경의 수치지형데이터 및 상기 감지유닛과의 거리에 대응되는 상기 표적의 기준크기정보를 포함하는 기준테이블 및 상기 기준테이블과 상기 위치 및 방향에 근거하여 상기 감지유닛으로부터 상기 물체까지의 거리를 계산하고, 상기 물체의 크기가 상기 거리에 대응되는 기준크기와의 차이가 기 설정된 범위보다 크면 상기 물체를 상기 클러터로 처리하는 제어부를 포함한다. 이에 따라 상기 표적감지장치는 클러터를 제외한 물체의 이미지를 얻을 수 있고, 이에 따라 보다 정확하게 표적을 감지할 수 있다.