An additive manufacturing obstacle part can comprise a base structure comprising at least one external obstacle, and at least one internal obstacle that is formed at least partially within the base structure. The at least one internal obstacle can comprise an elongated internal obstacle extending through the base structure between an inlet and an outlet formed in the base structure. The elongated internal obstacle can comprise at least one wall extending along a nonlinear path. The non-linear path can hinder travel of excess material from an additive manufacturing process along a linear path between the inlet and outlet. This can help a designer to assess an additive manufacturers ability to cleanly produce an internal feature to specifications while removing excess material resulting from the additive manufacturing process.

An additive manufacturing obstacle part can comprise a base structure comprising at least one external obstacle, and at least one internal obstacle that is formed at least partially within the base structure. The at least one internal obstacle can comprise an elongated internal obstacle extending through the base structure between an inlet and an outlet formed in the base structure. The elongated internal obstacle can comprise at least one wall extending along a nonlinear path. The non-linear path can hinder travel of excess material from an additive manufacturing process along a linear path between the inlet and outlet. This can help a designer to assess an additive manufacturers ability to cleanly produce an internal feature to specifications while removing excess material resulting from the additive manufacturing process.

Method for measuring a workpiece, comprising the method steps of: providing a workpiece, wherein the workpiece has a surface with a surface structure; predefining a geometric measured variable of the workpiece, wherein the geometric measured variable is a diameter of the workpiece and wherein the geometric measured variable and a nominal-actual deviation of the geometric measured variable are defined in a reference plane; predefining a measuring path; tactile sensing of measured values on the workpiece by bringing a measuring probe into contact with the surface of the workpiece and the measuring probe scans the workpiece in contact with the surface along the predetermined measuring path; computational determination of the geometric measured variable and the nominal-actual deviation of the geometric measured variable from the measured values within the reference plane; wherein the predefined measuring path lies at least partially outside the reference plane.

Method for measuring a workpiece, comprising the method steps of: providing a workpiece, wherein the workpiece has a surface with a surface structure; predefining a geometric measured variable of the workpiece, wherein the geometric measured variable is a diameter of the workpiece and wherein the geometric measured variable and a nominal-actual deviation of the geometric measured variable are defined in a reference plane; predefining a measuring path; tactile sensing of measured values on the workpiece by bringing a measuring probe into contact with the surface of the workpiece and the measuring probe scans the workpiece in contact with the surface along the predetermined measuring path; computational determination of the geometric measured variable and the nominal-actual deviation of the geometric measured variable from the measured values within the reference plane; wherein the predefined measuring path lies at least partially outside the reference plane.

Determining locations to gather information to reduce the number of locations without reducing the information gathered is of key importance when such observations require drilling or other resource-intensive activities. By utilizing ergodic sampling, the same information (volume and/or resolution) may be obtained when compared to an exhaustive grid approach but with significantly fewer observations.

Determining locations to gather information to reduce the number of locations without reducing the information gathered is of key importance when such observations require drilling or other resource-intensive activities. By utilizing ergodic sampling, the same information (volume and/or resolution) may be obtained when compared to an exhaustive grid approach but with significantly fewer observations.

A vehicle position estimation method includes: acquiring time-series data of a parameter related to a vertical motion of a wheel while the vehicle is traveling; acquiring the parameter around the vehicle, as a reference parameter, from a parameter map indicating a correspondence relationship between the parameter and a position; estimating a vehicle position based on a comparison between the time-series data of the parameter and time-series data of the reference parameter. Meanwhile, road surface roughness around the vehicle in a lateral direction and a lateral position of the vehicle in a road are recognized by using a recognition sensor installed on the vehicle. When the road surface roughness is less than a threshold, a lateral position component of the estimated vehicle position is replaced with the lateral position recognized by using the recognition sensor.

A vehicle position estimation method includes: acquiring time-series data of a parameter related to a vertical motion of a wheel while the vehicle is traveling; acquiring the parameter around the vehicle, as a reference parameter, from a parameter map indicating a correspondence relationship between the parameter and a position; estimating a vehicle position based on a comparison between the time-series data of the parameter and time-series data of the reference parameter. Meanwhile, road surface roughness around the vehicle in a lateral direction and a lateral position of the vehicle in a road are recognized by using a recognition sensor installed on the vehicle. When the road surface roughness is less than a threshold, a lateral position component of the estimated vehicle position is replaced with the lateral position recognized by using the recognition sensor.

The disclosure relates to a method for recognizing roughness of a road on which a vehicle is traveling, a vehicle, and a computer-readable storage medium. The method for recognizing roughness of a road on which a vehicle is traveling includes the steps of: A. obtaining a traveling speed of the vehicle on a current road; B. determining whether the obtained traveling speed is not greater than a preset threshold, and if the obtained traveling speed is not greater than the preset threshold, obtaining operating data of the vehicle at a preset time interval; and C. determining the roughness of the current road of the vehicle based on a change feature of the obtained operating data. Through application of the disclosure, roughness of a road on which a vehicle is traveling can be quickly, accurately, and efficiently detected, different road conditions such as uphill, downhill, and various obstacles that can or cannot be crossed over can be recognized, thereby improving the low-speed control capability of the vehicle and enhancing the safety performance of the vehicle.

The disclosure relates to a method for recognizing roughness of a road on which a vehicle is traveling, a vehicle, and a computer-readable storage medium. The method for recognizing roughness of a road on which a vehicle is traveling includes the steps of: A. obtaining a traveling speed of the vehicle on a current road; B. determining whether the obtained traveling speed is not greater than a preset threshold, and if the obtained traveling speed is not greater than the preset threshold, obtaining operating data of the vehicle at a preset time interval; and C. determining the roughness of the current road of the vehicle based on a change feature of the obtained operating data. Through application of the disclosure, roughness of a road on which a vehicle is traveling can be quickly, accurately, and efficiently detected, different road conditions such as uphill, downhill, and various obstacles that can or cannot be crossed over can be recognized, thereby improving the low-speed control capability of the vehicle and enhancing the safety performance of the vehicle.