Abstract: A system and method for sensing an edge of a region includes at least one distance sensor configured to detect a plurality of distances of objects along a plurality of adjacent scan lines. A controller is in communication with the at least one distance sensor and is configured to determine a location of an edge of a region within the plurality of adjacent scan lines. The controller includes a comparator module configured to compare values corresponding to the detected plurality of distances, and an identification module configured to identify the location of the edge of the region according to the compared values. In one example, the values corresponding to the detected plurality of distances include couplets of standard deviations that are analyzed and selected to identify the location of the edge.

Abstract: A training system for a jumper on a jump path over a crossbar predicts the jumper's flight path and cues the jumper if the flight path is too close to the crossbar or to take action if the jumper is predicted to strike the crossbar. The system includes a sensor viewing the jumper from a direction paralleling the crossbar and producing data points representative of the lowest edge of the jumper in the vicinity of the crossbar. A computer receiving the data points is programmed to determine therefrom the jumper's flight path, the jumper's forward speed, the location of a jumper's lower legs relative to the crossbar, an expected impact time of the lower legs with the crossbar, and a cuing time. A cuing device, such as a horn, cues the jumper to raise the lower legs so as to not impact the crossbar.

Abstract: A training system for a jumper on a jump path over a crossbar predicts the jumper's flight path and cues the jumper if the flight path is too close to the crossbar or to take action if the jumper is predicted to strike the crossbar. The system includes a sensor viewing the jumper from a direction paralleling the crossbar and producing data points representative of the lowest edge of the jumper in the vicinity of the crossbar. A computer receiving the data points is programmed to determine therefrom the jumper's flight path, the jumper's forward speed, the location of a jumper's lower legs relative to the crossbar, an expected impact time of the lower legs with the crossbar, and a cuing time. A cuing device, such as a horn, cues the jumper to raise the lower legs so as to not impact the crossbar.

Abstract: A training system for a jumper on a jump path over a crossbar predicts the jumper's flight path and cues the jumper if the flight path is too close to the crossbar or to take action if the jumper is predicted to strike the crossbar. The system includes a sensor viewing the jumper from a direction paralleling the crossbar and producing data points representative of the lowest edge of the jumper in the vicinity of the crossbar. A computer receiving the data points is programmed to determine therefrom the jumper's flight path, the jumper's forward speed, the location of a jumper's lower legs relative to the crossbar, an expected impact time of the lower legs with the crossbar, and a cuing time. A cuing device, such as a horn, cues the jumper to raise the lower legs so as to not impact the crossbar.

Abstract: A system and method for transferring data between an object detection system and a collision processing circuit is provided. The object detection system includes sensors configured to provide coverage of and detect movement within a predetermined area. The object detection system further includes a path predicting circuit and a plotting circuit operable to predict and plot the location of detected objects. The system further includes a map definition of the predetermined area, a grid system plotted onto the predetermined area, and environmental information relating to the predetermined area, and a series of overlays. Each overlay is plotted with the grid system and the predicted location of the detected objects. The object detection system transmits the map definition and series of overlays to the collision processing circuit so as to determine a probability of a collision.

Abstract: A training system for a jumper on a jump path over a crossbar predicts the jumper's flight path and cues the jumper if the flight path is too close to the crossbar or to take action if the jumper is predicted to strike the crossbar. The system includes a sensor viewing the jumper from a direction paralleling the crossbar and producing data points representative of the lowest edge of the jumper in the vicinity of the crossbar. A computer receiving the data points is programmed to determine therefrom the jumper's flight path, the jumper's forward speed, the location of a jumper's lower legs relative to the crossbar, an expected impact time of the lower legs with the crossbar, and a cuing time. A cuing device, such as a horn, cues the jumper to raise the lower legs so as to not impact the crossbar.

Abstract: A system for detecting a pedestrian is provided. The system includes a base and a mast extending from the base, and a plurality of sensors mounted on the mast, the plurality of sensors for detecting objects and pedestrians within a predetermined range, and wherein the sensors include a GPS antenna, at least one camera, an alert mechanism, a radio with an integrated directional antenna, and a short range communication antenna. A path predicting circuit is in communication with a system vehicle and the pedestrian detection system. The path predicting circuit processes information from the system vehicle and pedestrian detection system to predict the path of the system vehicle and detected objects. The path predicting circuit is in communication with a path collision circuit and the predicted paths are mapped on the path collision circuit so as to determine if the system vehicle may possibly collide with a detected object.

Abstract: A roadside infrastructure system configured to generate and broadcast basic safety message data to augment vehicle safety applications. In one example, a roadside module of the system includes a camera, video analytics to process images from the camera to detect vehicles, a BSM generator that generates a BSM for each detected vehicle, and an antenna for broadcasting the BSM. In another example, the roadside module is configured to detect BSM data generated by equipped vehicles, to determine whether any detected vehicles are equipped vehicles generating their own BSM data, and to generate a BSM only for unequipped detected vehicles.

Abstract: A navigation system and method for determining a location of a navigator in a navigation environment using coded markers located within the navigation environment. In one example, the navigation system includes a camera apparatus configured to obtain an image of a scene containing images of at least one coded marker in a navigation environment, video analytics configured to read the at least one coded marker, and a processor coupled to the video analytics and configured to determine a position fix of a navigator based on a known location of the at least one coded marker.

Abstract: A system for detecting a pedestrian is provided. The system includes a base and a mast extending from the base, and a plurality of sensors mounted on the mast, the plurality of sensors for detecting objects and pedestrians within a predetermined range, and wherein the sensors include a GPS antenna, at least one camera, an alert mechanism, a radio with an integrated directional antenna, and a short range communication antenna. A path predicting circuit is in communication with a system vehicle and the pedestrian detection system. The path predicting circuit processes information from the system vehicle and pedestrian detection system to predict the path of the system vehicle and detected objects. The path predicting circuit is in communication with a path collision circuit and the predicted paths are mapped on the path collision circuit so as to determine if the system vehicle may possibly collide with a detected object.

Abstract: A navigation system and method for determining a location of a navigator in a navigation environment using coded markers located within the navigation environment. In one example, the navigation system includes a camera apparatus configured to obtain an image of a scene containing images of at least one coded marker in a navigation environment, video analytics configured to read the at least one coded marker, and a processor coupled to the video analytics and configured to determine a position fix of a navigator based on a known location of the at least one coded marker.

Abstract: A roadside infrastructure system configured to generate and broadcast basic safety message data to augment vehicle safety applications. In one example, a roadside module of the system includes a camera, video analytics to process images from the camera to detect vehicles, a BSM generator that generates a BSM for each detected vehicle, and an antenna for broadcasting the BSM. In another example, the roadside module is configured to detect BSM data generated by equipped vehicles, to determine whether any detected vehicles are equipped vehicles generating their own BSM data, and to generate a BSM only for unequipped detected vehicles.

Abstract: A system and method for detecting a collision is provided. The system includes a system vehicle equipped with onboard equipment directed towards gathering vehicle information necessary to predict the path of the vehicle, a roadside infrastructure having a plurality of roadside sensors selectively distributed throughout the infrastructure so as to detect objects and gather information about the detected objects necessary to predict the path of the detected objects. A path predicting circuit is in communication with the system vehicle and the roadside infrastructure. The path predicting circuit processes information from the system vehicle and roadside infrastructure to predict the path of the system vehicle and detected objects. The path predicting circuit is in communication with a path collision circuit and the predicted paths are mapped on the path collision circuit so as to determine if the system vehicle may possibly collide with a detected object.

Abstract: A system and method for transferring data between an object detection system and a collision processing circuit is provided. The object detection system includes sensors configured to provide coverage of and detect movement within a predetermined area. The object detection system further includes a path predicting circuit and a plotting circuit operable to predict and plot the location of detected objects. The system further includes a map definition of the predetermined area, a grid system plotted onto the predetermined area, and environmental information relating to the predetermined area, and a series of overlays. Each overlay is plotted with the grid system and the predicted location of the detected objects. The object detection system transmits the map definition and series of overlays to the collision processing circuit so as to determine a probability of a collision.