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 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 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 method for predicting future states of a vehicle including the steps of selecting a model having n states reflecting dynamic features of the vehicle; inputting noisy sensor measurements representing a current state of the vehicle to generate (2n+1) sigma points Xi where i=0, . . . . 2n, each of the sigma points having n states; performing (2n+1) integrations, each integration includes propagating the n-states of the respective sigma points Xi through the non-linear function Yi=f(Xi); and combining the propagated sigma points to generate the predicted future states of the vehicle.

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 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 method for predicting future states of a vehicle including the steps of selecting a model having n states reflecting dynamic features of the vehicle; inputting noisy sensor measurements representing a current state of the vehicle to generate (2n+1) sigma points Xi where i=0, . . . . 2n, each of the sigma points having n states; performing (2n+1) integrations, each integration includes propagating the n-states of the respective sigma points Xi through the non-linear function Yi=f(Xi); and combining the propagated sigma points to generate the predicted future states of the vehicle.