Abstract:
본 명세서애 개시된 차량 제어 유닛을 위한 지형 정보를 제공하는 방법이 제공된다. 상기 방법은 차량의 특정 전방 영역에 대한 지형 정보를 획득하는 단계; 상기 특정 전방 영역 중 상기 차량의 경로 범위를 결정하는 단계; 및 상기 경로 범위에 대응되는 상기 지형 정보를 상기 차량 제어 유닛으로 전송하는 단계를 포함 할 수 있다.
Abstract:
PURPOSE: An autonomous driving system for an autonomous vehicle and a drivable route generating method using the same are provided to reduce a load of a CPU in an SBC(Single Board Computer) and autonomously drive a vehicle on a paved road, an unpaved road, and plains at high speed by reducing calculation amounts. CONSTITUTION: An autonomous driving system includes a multi-scan radar(110), a calculation unit(120), and an autonomous driving processing device(130). The multi-scan radar collects distance data from a target point by irradiating a laser in first and second routes with different orientation angles from a horizontal plane. The calculation unit determines a drivable region by calculating the slope of the target point based on the orientation angles and the distance data and calculates a drivable route from boundary values of the drivable region. The autonomous driving processing device controls the autonomous movement of the vehicle based on the drivable route. [Reference numerals] (110) Multi-scan radar; (121) Distance data receiving unit; (122) First processing unit(driving area extraction); (123) Second processing unit(drivable path point calculation); (124) Transmitting unit(virtual 2D laser radar data); (130) Autonomous driving processing device
Abstract:
본 발명은 차량의 위치 추정 시스템에 관한 것으로서, 더 상세하게는 다수의 센서를 이용하여 자율이동차량의 위치를 추정하더라도 각 센서의 신뢰성을 실시간 판단하여 최적의 센서융합을 수행함으로써 알고리즘 계산량을 줄이고 위치추정 정확도를 보다 향상시키는 자율 이동 차량의 위치 추정 시스템에 대한 것이다. 본 발명에 의하면, 다수의 센서를 이용하여 자율이동차량의 위치를 추정하더라도 각 센서의 신뢰성을 실시간 판단하여 최적의 센서융합을 수행함으로써 알고리즘 계산량을 줄이고 위치추정 정확도를 보다 향상시킬 수 있다.
Abstract:
PURPOSE: An autonomous mobile robot and a control method thereof are provided to generate a return path corresponding to an entrance path using images photographed by multiple cameras. CONSTITUTION: An autonomous mobile robot(100) comprises a main body(100), a position receiving unit(120), a receiving unit(130), a matching unit, and a path generating unit. The main body is moved toward a target point. The position receiving unit receives the position data of the main body. The sensing unit is installed in the main body and photographs surroundings. The matching unit extracts feature points from the photographed images and matches the extracted feature points with the position data. When the main body reaches the target point, the path generating unit generates the return path for the main body.
Abstract:
PURPOSE: A route updating method for avoiding a collision between autonomous vehicles and an apparatus using the same are provided to avoid the collision by reducing a calculation amount required to avoid the collision. CONSTITUTION: A plurality of 2D radar(LADAR) detects geographic information which includes obstacles arranged near a travel route of an autonomous vehicle. A navigation-processing computer(20) processes position, posture, and velocity information of the autonomous vehicle using navigation information from a compass(23), an inertial navigation system(22), or a global positioning system(21). A 2D LADAR processing computer(30) acquires obstacle information by processing the navigation information from the navigation-processing computer and the geographic information acquired by the 2D LADAR. A path control computer(40) performs a collision avoidance process in a reconfigurable mode after removing a path point by utilizing the obstacle information from the 2D LADAR processing computer.
Abstract:
PURPOSE: A topography detection sensor assembly and an autonomous vehicle with the same are provided to quickly obtain data about obstacle detection, tilted side analysis, or world modeling in the same direction based on an operation environment and purpose. CONSTITUTION: A topography detection sensor assembly includes a first radar(110), a rolling driving device(200), a second radar, and a pitching driving device. The first radar includes a first axis and a second axis which crosses the first axis. The first radar is inserted into a groove. The rolling driving device is coupled with the first radar. The rolling driving device rotates the first radar around the second axis. The second radar rotates around a third axis which crosses the first axis and the second axis.