At least one embodiment is directed to a tracking system for the muscular-skeletal system. The tracking system can identify position and orientation. The tracking system can be attached to a device or integrated into a device. In one embodiment, the tracking system couples to a handheld tool. The handheld tool with the tracking system and one or more sensors can be used to generate tracking data of the tool location and trajectory while measuring parameters of the muscular-skeletal system at an identified location. The tracking system can be used in conjunction with a second tool to guide the second tool to the identified location of the first tool. The tracking system can guide the second tool along the same trajectory as the first tool. For example, the second tool can be used to install a prosthetic component at a predetermined location and a predetermined orientation. The tracking system can track hand movements of a surgeon holding the handheld tool within 1 millimeter over a path less than 5 meters.

A detection system for detecting underwater conditions according to an embodiment or embodiments may include an aerial vehicle and a suspended device suspended from the aerial vehicle, wherein the suspended device includes a detecting section that performs an underwater detection operation, and a position information acquisition section that acquires position information.

A manufacturing cell for manufacturing a vehicle component can include an intelligent actuator, a pneumatic rotational cylinder, an arm, a laser scanner, and a controller. The arm can extend downward from the intelligent actuator to the pneumatic rotational cylinder. The laser scanner can be attached to the pneumatic rotational cylinder for movement with the pneumatic rotational cylinder. The laser scanner configured to scan at least a first object and a second object, and create profile data indicative of a 3D profile of the first object and the second object. The controller can be configured to assure that the second object is in a positive condition by using the profile data to determine the positive condition for the second object if the tolerance distance lies within a set range, and determine a flagged condition for the second object if the tolerance distance lies outside the set range.

A manufacturing cell for manufacturing a vehicle component can include an intelligent actuator, a pneumatic rotational cylinder, an arm, a laser scanner, and a controller. The arm can extend downward from the intelligent actuator to the pneumatic rotational cylinder. The laser scanner can be attached to the pneumatic rotational cylinder for movement with the pneumatic rotational cylinder. The laser scanner configured to scan at least a first object and a second object, and create profile data indicative of a 3D profile of the first object and the second object. The controller can be configured to assure that the second object is in a positive condition by using the profile data to determine the positive condition for the second object if the tolerance distance lies within a set range, and determine a flagged condition for the second object if the tolerance distance lies outside the set range.

In order to create an accurate map with a simple operation, the map creation system includes: a relative position acquisition means to measure distances and directions from a sensor to points on a surface of an infrastructure or an object and to create point cloud data in a relative space with the sensor at the center thereof; a sensor position acquisition means to measure the position and the attitude of the sensor and to create sensor position data; an absolute position calculation means to calculate position information of the point cloud in the absolute space on the basis of the point cloud data in the relative space and the sensor position data; a direction-vector calculation means to obtain a direction vector from the sensor to each point of the point cloud in the absolute space on the basis of the point cloud data in the relative space and the sensor position data; an area detection means to extract points composing a plane area on the basis of the position information and the direction vectors of the point cloud in the absolute space and to obtain the area outline on the basis of the distribution of the extracted points; and a drawing means to draw a picture representing the detected area outline with a line.

Disclosed herein are systems and methods for profiling a surface. In some embodiments, the systems and methods perform profiling using a robotic vehicle. The vehicle can include a drive system, one or more wheel encoders, and one or more distance sensors and/or inertial measurement units for capturing measurement data, such as the slope of the surface or the angle of the robotic vehicle relative to the surface or the gravity vector. A control computing system is included having one or more processors that execute instructions stored in software modules to process movement data. In some embodiments, the processed movement data determines a plurality of snapshots of the surface at different times and positions as the robotic vehicle traverses the surface. These snapshots are combined to generate a profile of the surface.

Disclosed herein are systems and methods for profiling a surface. In some embodiments, the systems and methods perform profiling using a robotic vehicle. The vehicle can include a drive system, one or more wheel encoders, and one or more distance sensors and/or inertial measurement units for capturing measurement data, such as the slope of the surface or the angle of the robotic vehicle relative to the surface or the gravity vector. A control computing system is included having one or more processors that execute instructions stored in software modules to process movement data. In some embodiments, the processed movement data determines a plurality of snapshots of the surface at different times and positions as the robotic vehicle traverses the surface. These snapshots are combined to generate a profile of the surface.

A manufacturing cell for manufacturing a vehicle component can include an intelligent actuator, a pneumatic rotational cylinder, an arm, a laser scanner, and a controller. The arm can extend downward from the intelligent actuator to the pneumatic rotational cylinder. The laser scanner can be attached to the pneumatic rotational cylinder for movement with the pneumatic rotational cylinder. The laser scanner configured to scan at least a first object and a second object, and create profile data indicative of a 3D profile of the first object and the second object. The controller can be configured to assure that the second object is in a positive condition by using the profile data to determine the positive condition for the second object if the tolerance distance lies within a set range, and determine a flagged condition for the second object if the tolerance distance lies outside the set range.

A manufacturing cell for manufacturing a vehicle component can include an intelligent actuator, a pneumatic rotational cylinder, an arm, a laser scanner, and a controller. The arm can extend downward from the intelligent actuator to the pneumatic rotational cylinder. The laser scanner can be attached to the pneumatic rotational cylinder for movement with the pneumatic rotational cylinder. The laser scanner configured to scan at least a first object and a second object, and create profile data indicative of a 3D profile of the first object and the second object. The controller can be configured to assure that the second object is in a positive condition by using the profile data to determine the positive condition for the second object if the tolerance distance lies within a set range, and determine a flagged condition for the second object if the tolerance distance lies outside the set range.

A sensor surveillance system (100) and a method for determining possible geographic positions of at least one assumed undetected target (1a-n) within a geographic volume of interest (200) is provided, wherein for a first point in time ti the following steps are performed: dividing the geographic volume of interest (200) into sections (10); assuming the existence of an assumed undetected target (1a-n) at a geographic position within each section (10); and initiating the creation of a pattern (2) defining at least one possible geographic position of the assumed undetected target, said pattern extends at least partially around the geographic position of the assumed undetected target (1a-n); wherein the geographic extension of said pattern is determined based on: the category of the assumed undetected target (1a-n); and the amount of time that has passed from the first point in time t1. Further, for a second point in time t2 the following steps are performed: determining geographic locations (205) within said geographic volume of interest (200) from where sensor signals show absence of targets; and removing the pattern (2) from the geographic locations (205) from where sensor signals show absence of targets.