Patent classifications
G01S7/497
Object monitoring system including distance measuring device
An object monitoring system includes a distance measuring device which generates, while repeating an imaging cycle having different imaging modes, a distance image of a target space for each of the imaging modes, and a computing device which determines presence or absence of an object within a monitoring area set in the target space based on the distance image.
SLAM SYSTEM AND METHOD FOR VEHICLES USING BUMPER-MOUNTED DUAL LIDAR
There is provided a simultaneous localization and mapping (SLAM) system including a first LiDAR and a second LiDAR mounted on a vehicle bumper; a LiDAR data merge unit receiving data from the first LiDAR and the second LiDAR, aligning LiDAR times through time synchronization, and then converting the data into a point cloud type and merging the data; an electronic control unit (ECU) providing inertial data of the vehicle for correcting the data merged in the LiDAR data merge unit; and an SLAM unit correcting the data merged in the LiDAR data merge unit by using the inertial data of the vehicle received from the ECU to obtain LiDAR odometry for estimating a movement of the vehicle, generating a 3D map of a road on which the vehicle travels, and extracting a location and a traveling route of the vehicle inside a road.
SLAM SYSTEM AND METHOD FOR VEHICLES USING BUMPER-MOUNTED DUAL LIDAR
There is provided a simultaneous localization and mapping (SLAM) system including a first LiDAR and a second LiDAR mounted on a vehicle bumper; a LiDAR data merge unit receiving data from the first LiDAR and the second LiDAR, aligning LiDAR times through time synchronization, and then converting the data into a point cloud type and merging the data; an electronic control unit (ECU) providing inertial data of the vehicle for correcting the data merged in the LiDAR data merge unit; and an SLAM unit correcting the data merged in the LiDAR data merge unit by using the inertial data of the vehicle received from the ECU to obtain LiDAR odometry for estimating a movement of the vehicle, generating a 3D map of a road on which the vehicle travels, and extracting a location and a traveling route of the vehicle inside a road.
ACTIVE MARKER RELAY SYSTEM FOR PERFORMANCE CAPTURE
An active marker relay system is provided to operate responsive active markers coupled to an object in a live action scene for performance capture, via a trigger unit that relays energy pulse information to responsive active markers. Using use simple sensors, the responsive active markers sense control energy pulses projected from the trigger unit. In return, the responsive active markers produce energy pulses that emulate at least one characteristic of the control energy pulses, such as a particular pulse rate or wavelength of energy. The reactivity of the responsive active markers to control energy pulses enables simple control of the responsive active markers through the trigger unit.
ACTIVE MARKER RELAY SYSTEM FOR PERFORMANCE CAPTURE
An active marker relay system is provided to operate responsive active markers coupled to an object in a live action scene for performance capture, via a trigger unit that relays energy pulse information to responsive active markers. Using use simple sensors, the responsive active markers sense control energy pulses projected from the trigger unit. In return, the responsive active markers produce energy pulses that emulate at least one characteristic of the control energy pulses, such as a particular pulse rate or wavelength of energy. The reactivity of the responsive active markers to control energy pulses enables simple control of the responsive active markers through the trigger unit.
Calibration device
A calibration device includes a base, a support column coupled to the base and extending in a first direction, and a crossbar coupled to the support column. The crossbar includes a positioning base and a carrier. The positioning base is fixed to the support column. The carrier is coupled to the positioning base and rotatable about a second direction perpendicular to the first direction. The carrier includes a distance sensor and a calibration platform. The calibration platform mounts a depth camera. The carrier is configured to rotate about the second direction to rotate an optical axis of the depth camera in a first calibration plane defined by the first direction and a third direction. The third direction is perpendicular to the first direction and the second direction.
Calibration device
A calibration device includes a base, a support column coupled to the base and extending in a first direction, and a crossbar coupled to the support column. The crossbar includes a positioning base and a carrier. The positioning base is fixed to the support column. The carrier is coupled to the positioning base and rotatable about a second direction perpendicular to the first direction. The carrier includes a distance sensor and a calibration platform. The calibration platform mounts a depth camera. The carrier is configured to rotate about the second direction to rotate an optical axis of the depth camera in a first calibration plane defined by the first direction and a third direction. The third direction is perpendicular to the first direction and the second direction.
LIDAR SYSTEM CALIBRATION
A method for calibrating a LIDAR system proposes incorporating in the LIDAR system a reference optical path which is formed from an optical fiber. The length of the optical fiber determines a measurement reference value, which can then be used to evaluate distances of targets to be characterized using the LIDAR system. The calibration method is simple and economical to implement. It may be used in particular for a LIDAR system which is designed to perform air speed measurements, in particular on board an aircraft.
LIDAR SYSTEM CALIBRATION
A method for calibrating a LIDAR system proposes incorporating in the LIDAR system a reference optical path which is formed from an optical fiber. The length of the optical fiber determines a measurement reference value, which can then be used to evaluate distances of targets to be characterized using the LIDAR system. The calibration method is simple and economical to implement. It may be used in particular for a LIDAR system which is designed to perform air speed measurements, in particular on board an aircraft.
USER-IN-THE-LOOP OBJECT DETECTION AND CLASSIFICATION SYSTEMS AND METHODS
A detection device is adapted to traverse a search area and generate sensor data associated with an object that may be present in the search area, the detection device comprising a first logic device configured to detect and classify the object in the sensor data, communicate object detection information to a control system when the detection device is within a range of communications of the control system, and generate and store object analysis information for a user of the control system when the detection device is not in communication with the control system. A control system facilitates user monitoring and/or control of the detection device during operation and to access the stored object analysis information. The object analysis information is provided in an interactive display to facilitate user detection and classification of the detected object by the user to update the detection information, trained object classifier, and training dataset.