A method can include sending, via a processing device, a signal to at least two of a plurality of location indicators from an autonomous vehicle in motion and transporting equipment or passengers. The method can further include receiving signals from the at least two location indicators. The method can further include determining a location of the autonomous vehicle within an indoor facility based on the received signals. The method can further include comparing the determined location to a corresponding pre-determined location. The method can further include, in response to the determined location being different than the pre-determined location, adjusting a direction of the autonomous vehicle along a predetermined path within the indoor facility.

A method for controlling the motion of a mobile warning triangle for suitable placement on a roadway acquires information as to color of the lane markings detected by a sensor. When the mobile warning triangle is first placed on the roadway, the sensor is preset in position to detect the lane marking. White or yellow color information of the lane marking or of the black-colored roadway are detected or are not detected by the sensor, and deviations from a required path are recognized when different colors are received in certain combinations by the sensor. If no deviation is recognized in the colors, the mobile warning triangle continues moving forward. If a deviation in colors is recognized, the mobile warning triangle is controlled to hunt to the left and right through one or more predetermined angles to try to detect or redetect the lane marking.

A driving assistance device includes a guide line detecting unit, a remaining distance acquiring unit, and a braking control unit. The guide line includes a base-point mark which is provided at a position which is separated a first distance from the scheduled stop position. The guide line detecting unit detects the base-point mark at a measurement position of a captured image and sets the detected position of the base-point mark at the measurement position of the captured image as the center of the base-point mark in an extending direction of the guide line when the base-point mark is detected at the measurement position of the captured image. The remaining distance acquiring unit acquires the remaining distance on the basis of the position of the base-point mark set by the guide line detecting unit.

A vehicle for an automated storage and retrieval system is configured to follow a set route on a track being laid out in the automated storage and retrieval system and having one or more track features. The vehicle includes a first set of wheels capable of moving the vehicle in a first direction; a second set of wheels capable of moving the vehicle in a second direction perpendicular to the first direction; and a plurality of sensors attached to the vehicle and configured to detect track features and to measure a distance to a track feature while the vehicle is moving in the first direction or the second direction.

A robotic pool cleaner includes a housing, a propulsion mechanism configured to propel the robotic pool cleaner along an interior surface of a pool, and a suction mechanism for drawing liquid from the pool into the housing. A transceiver is configured to receive a signal that is indicative of a relative location of another robotic pool cleaner. A controller is configured to control the propulsion mechanism in accordance with the indicated location of the other robotic pool cleaner

To improve estimation accuracy of a self-position. Light at a predetermined wavelength is projected. An image of a reflector with a reflectance higher than a predetermined reflectance is taken by receiving reflected light of the projected light reflected by the reflector. Own orientation is estimated on the basis of the taken image of the reflector. As a result, the self-position can be highly accurately estimated on the basis of the reflector even at night. The present disclosure can be applied to an on-board system.

The present invention can provide an intelligent vehicle transport robot for a single-level parking lot, wherein: parking lines for indicating parking locations of respective vehicles are marked on a parking lot formed at a single level; the parking lines are marked in a checkerboard pattern so as to exclude drive aisles for vehicle movements and thus increase the number of vehicles that can be accommodated in parking spaces; and a vehicle transport robot (10) is provided in the parking lot, which performs vehicle parking and retrieval by moving a vehicle above parked vehicles, whereby due to exclusion of drive aisles, the number of vehicles that can be accommodated in parking spaces is increased as compared to a conventional parking lot having the same area, and thus the parking efficiency of the parking lot can be improved.

An automated guided vehicle system including at least one automated guided vehicle (AGV) for following predetermined magnetic paths on a ground surface to carry cargo to selected points on the paths. The AGV includes a chassis, top plate mounted on the chassis for receipt of cargo, a pair of driving wheels coupled to driving motors, and plural passive omni-wheels. Control and navigation circuitry is provided to operate the motors to drive the driving wheels to cause the AGV to follow a desired one of the paths. The AGV provides illumination indicating its direction of travel and status. It also includes laser scanners for obstacle detection.

Provided is an apparatus for controlling rail boarding for autonomous driving of a mobile robot. The apparatus includes: a sensor module configured to acquire sensing information for recognizing a surrounding environment of the mobile robot; a detection module configured to detect a boarding target rail of the mobile robot based on the sensing information, set line information in the detected rail region, and set an entry line from the line information; a memory configured to store a control program for the rail boarding of the mobile robot is stored based on the detected information; and a processor configured to convert the entry line into a robot (real) coordinate system, set an entry point for moving to the entry line is set, and generate driving information for movement within the set entry point and entry line, as the program stored in the memory is executed.

A system for an autonomous vehicle by providing lane markers on the road for which a vehicle will read and navigate the road. The vehicle transmits a discovery signal and is returned from the marker to indicate the position on the road and how to proceed on the road. The system uses either an autonomous control system or 3D map navigation database to determine the direction of the vehicle in real time.