A control device includes a direction identifying data generator that generates direction identifying data including at least a portion of acquired point group data indicating a position of a region including the ridge in front of an agricultural vehicle in a traveling direction, a direction identification part that identifies a direction of the ridge on the basis of the direction identifying data, and a travel control part that controls the agricultural vehicle such that the agricultural vehicle travels in the direction of the ridge identified by the direction identification part.

An optical device is provided. The optical device includes a time-of-flight (TOF) sensor array, a photon conversion thin film, and a light source. The photon conversion thin film is disposed above the time-of-flight sensor array. The light source emits light with a first wavelength towards the photon conversion thin film to be converted into light with a second wavelength received by the time-of-flight sensor array. The second wavelength is longer than the first wavelength.

The present invention relates to a method for detecting changes in the ore grade of a rock face in near real time. The method includes the step of providing a scanning system having at least a hyperspectral imager, a position system, a LiDAR or range determination unit and computational resources. Further, the method involves determining a precise location of the scanning system utilising the position system. The rock face is scanned with the range determination unit to determine rock face position information. The method involves scanning the rock face with the hyperspectral imager to produce a corresponding rock face hyperspectral image. Further the method involves utilising the computational resources to fuse together the rock face position information and the corresponding rock face hyperspectral image to produce a rock face position and content information map of the rock face.

An optical device (100) has a field of view (F) which enlarges as advancing toward one direction from a predetermined position. A housing (200) includes a transmission unit (210). The transmission unit (210) crosses the field of view (F). The housing (200) accommodates the optical device (100). The transmission unit (210) includes a first side (212) and a second side (214). The second side (214) is located on an opposite side to the first side (212). A width of the transmission unit (210) on a side with the second side (214) is narrower than a width of the transmission unit (210) on a side with the first side (212). The second side (214) of the transmission unit (210) is located closer to the predetermined position in the one direction than the first side (212) of the transmission unit (210).

An optical device (100) has a field of view (F) which enlarges as advancing toward one direction from a predetermined position. A housing (200) includes a transmission unit (210). The transmission unit (210) crosses the field of view (F). The housing (200) accommodates the optical device (100). The transmission unit (210) includes a first side (212) and a second side (214). The second side (214) is located on an opposite side to the first side (212). A width of the transmission unit (210) on a side with the second side (214) is narrower than a width of the transmission unit (210) on a side with the first side (212). The second side (214) of the transmission unit (210) is located closer to the predetermined position in the one direction than the first side (212) of the transmission unit (210).

A presence detection system includes a presence detection field of an amusement park attraction, multiple transmitters, multiple receivers, and a controller. The multiple transmitters send multiple light beams of multiple wavelengths and the multiple receivers receive the multiple light beams of the multiple wavelengths. The controller receives input from the multiple transmitters and receivers and determines presence of an object in the presence detection field based on an interruption of the multiple light beams as indicated by the input. The controller also determines reflected light beams of the multiple wavelengths, absorbed light beams of the multiple wavelengths, or both, based on the input. The controller determines the object as a known object or an unknown object based at least in part on the reflected light beams, the absorbed light beams, or both.

A CPU acquires a distance image or a visible light image obtained by imaging a marker for measuring an SID as an object to be imaged using a TOF camera or a visible light camera. In addition, the CPU derives a marker distance between the TOF camera or the visible light camera and the marker from an image of a marker region corresponding to the marker in the acquired distance image or visible light image. Further, the CPU derives the SID on the basis of the derived marker distance and information indicating a positional relationship between an acquisition unit and the marker.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

A method for calibrating a sensor unit disposed on a load-bearing device of an industrial truck includes the steps of: determining a first position of the sensor unit relative to an object located remotely from the industrial truck, displacing the sensor relative to the object in a first direction by a first distance, determining a second position of the sensor unit relative to the object, determining the spatial position or arrangement of the sensor unit relative to the load-bearing device based on the first and second positions, the direction of movement, and the distance between the first and second positions.

A method of measuring the concentration of a gas in a target environment using a laser lidar system, comprises directing a laser beam towards an environment containing the gas, tuning the laser wavelength over a wavelength range including the absorption line of the gas, and measuring intensity of laser light returned from the environment containing the gas, as a result of scattering as a function of time. The intensity vs time is then converted into gas absorption vs wavelength, and the gas absorption vs wavelength is used to determine the concentration of the gas in the target environment.