A system and method for analyzing a surface of an object is provided. The system includes a 3D measurement device operable to acquire a plurality of points on the surface of the object and determine 3D coordinates for each of the points. The system further includes processors operably coupled to the 3D measurement device. The processors are responsive to computer instructions when executed on the processors for performing a method comprising: generating a point cloud from the 3D coordinates of the plurality of points; extracting a first set of points from the plurality of points; defining a first reference geometry through the first set of points; measuring at least one first metric from each of the points in the first set of points to the first reference geometry; and identifying a nonconforming feature based at least in part on the at least one first metric.

A system and method for analyzing a surface of an object is provided. The system includes a 3D measurement device operable to acquire a plurality of points on the surface of the object and determine 3D coordinates for each of the points. The system further includes processors operably coupled to the 3D measurement device. The processors are responsive to computer instructions when executed on the processors for performing a method comprising: generating a point cloud from the 3D coordinates of the plurality of points; extracting a first set of points from the plurality of points; defining a first reference geometry through the first set of points; measuring at least one first metric from each of the points in the first set of points to the first reference geometry; and identifying a nonconforming feature based at least in part on the at least one first metric.

A system for detecting a vehicle includes a light source configured to emit a light signal. The system also includes a receiver sensor configured to receive a reflected light signal based at least in part on the light signal reflected from a plurality of reflectors. The system also includes a controller, the controller configured to identify an arrangement pattern of the plurality of reflectors based at least in part on the reflected light signal and determine that plurality of reflectors are coupled to another vehicle based at least in part on an identification of the arrangement pattern.

A system for detecting a vehicle includes a light source configured to emit a light signal. The system also includes a receiver sensor configured to receive a reflected light signal based at least in part on the light signal reflected from a plurality of reflectors. The system also includes a controller, the controller configured to identify an arrangement pattern of the plurality of reflectors based at least in part on the reflected light signal and determine that plurality of reflectors are coupled to another vehicle based at least in part on an identification of the arrangement pattern.

Provided is a camera apparatus capable of measuring a distance to a subject omnidirectionally while capturing an image of the subject omnidirectionally, and storing data of the image and the distance in correspondence therebetween. The camera apparatus includes two camera devices installed at positions that enable omnidirectional imaging; and two distance measurement devices installed at positions that enable omnidirectional distance measurement. Image data of each of pixel positions captured by the camera devices and distance data of each of the pixel positions measured by the distance measurement devices are stored in a memory in association with the pixel positions. The two camera devices are installed on surfaces that face each other with respect to a principal surface of the camera apparatus, and the two distance measurement devices are installed on surfaces that face each other with respect to a surface orthogonal to the principal surface of the camera apparatus.

A system for a vehicle includes a LIDAR sensor attachable to the vehicle and a puddle lamp fixed relative to the LIDAR sensor and oriented to project a light projection downward beside the vehicle. A computer may be in communication with the LIDAR sensor and the puddle lamp and programmed to actuate the puddle lamp in response to receiving data generated by the LIDAR sensor indicating a user positioned within a threshold distance of the vehicle.

A system for a vehicle includes a LIDAR sensor attachable to the vehicle and a puddle lamp fixed relative to the LIDAR sensor and oriented to project a light projection downward beside the vehicle. A computer may be in communication with the LIDAR sensor and the puddle lamp and programmed to actuate the puddle lamp in response to receiving data generated by the LIDAR sensor indicating a user positioned within a threshold distance of the vehicle.

Techniques are disclosed for real-time mapping in a movable object environment. A system for real-time mapping in a movable object environment, may include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The system may further include a client device in communication with the at least one movable object, the client device including a visualization application which is configured to receive point cloud data from the scanning sensor and position data from the positioning sensor, record the point cloud data and the position data to a storage location, generate a real-time visualization of the point cloud data and the position data as it is received, and display the real-time visualization using a user interface provided by the visualization application.

Techniques are disclosed for real-time mapping in a movable object environment. A system for real-time mapping in a movable object environment, may include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The system may further include a client device in communication with the at least one movable object, the client device including a visualization application which is configured to receive point cloud data from the scanning sensor and position data from the positioning sensor, record the point cloud data and the position data to a storage location, generate a real-time visualization of the point cloud data and the position data as it is received, and display the real-time visualization using a user interface provided by the visualization application.

Techniques are disclosed for real-time mapping in a movable object environment. A real-time mapping system can include at least an unmanned aerial vehicle (UAV), comprising a propulsion system, a main body coupled to the propulsion system and a payload assembly coupled to the main body via a payload port, wherein the payload assembly is configured to couple to the payload port and support a scanning sensor and a positioning sensor.