Methods and systems include, in at least one aspect: obtaining from a camera 2D image data of an object, obtaining from a radar device radar data of the object, combining the radar data and the 2D image data to produce 3D location information of the object, and modeling a 2D trace of the object using the 2D image data by finding an initial version of the 2D trace, receiving an initial portion of the 3D location information, extending the initial portion of the 3D location information in accordance with physical-world conditions to find at least one 3D location beyond the initial portion of the 3D location information, projecting the at least one 3D location into a 2D image plane of the camera to locate 2D region, and processing the 2D region in the 2D image data to extend the 2D trace of the object in flight.

Methods and systems include, in at least one aspect: obtaining from a camera 2D image data of an object, obtaining from a radar device radar data of the object, combining the radar data and the 2D image data to produce 3D location information of the object, and modeling a 2D trace of the object using the 2D image data by finding an initial version of the 2D trace, receiving an initial portion of the 3D location information, extending the initial portion of the 3D location information in accordance with physical-world conditions to find at least one 3D location beyond the initial portion of the 3D location information, projecting the at least one 3D location into a 2D image plane of the camera to locate 2D region, and processing the 2D region in the 2D image data to extend the 2D trace of the object in flight.

A braking control apparatus for controlling a braking operation for an own vehicle is configured to: acquire information on an object detected around the own vehicle; calculate, when a collision between the own vehicle and the object is predicted based on both an estimated route of the object estimated based on the acquired information on the object and an estimated route of the own vehicle, a collision range in the own vehicle at a collision timing between the own vehicle and the object or a collision range in the object at the collision timing; and control, according to a positional relationship between a predetermined braking-unrequired range in the own vehicle and the calculated collision range in the own vehicle or a positional relationship between a predetermined braking-unrequired range in the object and the calculated collision range in the object, whether to perform the braking operation for the own vehicle.

A system for detecting an obstacle includes a detection sensor configured to detect a movement direction or movement speed of a target within a detection range of a vehicle, and form a tracking point for the detected target to track a movement of the target; and a controller configured to extend and track the tracking point based on the movement direction or the movement speed of the target tracked when the tracking point deviates from the detection range.

A system for virtual aperture array radar tracking includes a transmitter that transmits first and second probe signals; a receiver array including a first plurality of radar elements positioned along a first radar axis; and a signal processor that calculates a target range from first and second reflected probe signals, corresponds signal instances of the first reflected probe signal to physical receiver elements of the radar array, corresponds signal instances of the second reflected probe signal to virtual elements of the radar array, calculates a first target angle between a first reference vector and a first projected target vector from the first reflected probe signal, and calculates a position of the tracking target relative to the radar array from the target range and first target angle.

A system for virtual aperture array radar tracking includes a transmitter that transmits first and second probe signals; a receiver array including a first plurality of radar elements positioned along a first radar axis; and a signal processor that calculates a target range from first and second reflected probe signals, corresponds signal instances of the first reflected probe signal to physical receiver elements of the radar array, corresponds signal instances of the second reflected probe signal to virtual elements of the radar array, calculates a first target angle between a first reference vector and a first projected target vector from the first reflected probe signal, and calculates a position of the tracking target relative to the radar array from the target range and first target angle.

The disclosed system and method for smart detection of an armament projectile can mitigate the detection of its radar by counter-radar systems. Particularly, the system may include an array of acoustic sensors for sensing one or more volleys associated with an armament projectile. An intelligent filtering module, coupled to the array of acoustic sensors, may select a volley based upon a learning algorithm, which can be applied to a target profile of historical system data logs. Based upon sensed parameters of the volley, the intelligent filtering module can calculate a radiation duration and a search fan width for radar transmission. Specifically, a controller, within the intelligent filtering module, may couple to actuate the radar at the calculated search fan width for the calculated radiation duration. In some embodiments, the intelligent filtering module can selectively actuate one radar based upon highest expanded detection probability relative to location and status.

An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

To provide a radar device capable of tracking a target accurately and stably, taking into account the possibility that a plurality of echoes may merge. A radar device is provided with a tracking processing unit, a merging possibility calculating unit and a preliminary handling processing unit. The merging possibility calculating unit calculates an echo merging possibility, which is the possibility that echo merging, whereby a plurality of echoes become integrated, will occur in the future, based on movement information including the position and speed of a target. The preliminary handling processing unit performs an advance handling process, which is a process for handling future occurrences of echo merging, based on the echo merging possibility.