A method of collision warning using broad antenna pattern ultra-wide band (UWB) radar includes emitting a first radar ping from a broad beam UWB antenna and receiving a first return signal identifying an object. A first hemisphere with a first radius is determined for the object. A second ping, second return and second hemisphere is defined for the object. At the intersection of the hemispheres, an object ring is defined. The radius of the object ring is compared with the radius of a collision cylinder (e.g., representing a safe distance around a system or device, such as a drone). The object may be identified as posing a collision threat when the radius of the object ring is smaller than the radius of the collision cylinder.

Disclosed is a moving object detection system and method. The moving object detection system includes an input unit receiving the sensed signals from two or more radar devices, a distance information computation unit computing distance information of the objects from the received signals, a grouping unit randomly selecting one signal to generate multiple signal groups, and generating the signal groups selected among the generated multiple signal groups as one signal group combination, a calculation unit calculating cross-correlation values for all the signal groups in the same signal group combination and adding up the calculated cross-correlation values, a combination selection unit selecting the signal group combination in which a sum of the cross-correlation values is a maximum, and a position computation unit computing a position of each object by matching the signal groups in the selected signal group combination to the objects.

Disclosed is a moving object detection system and method. The moving object detection system includes an input unit receiving the sensed signals from two or more radar devices, a distance information computation unit computing distance information of the objects from the received signals, a grouping unit randomly selecting one signal to generate multiple signal groups, and generating the signal groups selected among the generated multiple signal groups as one signal group combination, a calculation unit calculating cross-correlation values for all the signal groups in the same signal group combination and adding up the calculated cross-correlation values, a combination selection unit selecting the signal group combination in which a sum of the cross-correlation values is a maximum, and a position computation unit computing a position of each object by matching the signal groups in the selected signal group combination to the objects.

In accordance with a first aspect of the present disclosure, a method of detecting a target is conceived, comprising: performing, by a first detection unit, at least one ultra-wideband (UWB) radar operation; generating, by the first detection unit, a first detection output based on a result of the UWB radar operation, wherein said first detection output is indicative of a first target movement; performing, by a second detection unit, at least one UWB ranging operation; generating, by the second detection unit, a second detection output based on a result of the UWB ranging operation, wherein said second detection output is indicative of a second target movement; accepting or rejecting, by a processing unit, the first detection output based on the second detection output. In accordance with further aspects of the present disclosure, a corresponding computer program and a corresponding target detection system are provided.

A system for tracking the movement of an object includes a radar device having a first field of view. The radar device generates radar data indicating one of a range corresponding to a distance of a moving object within the first field of view from the radar device and a range rate corresponding to a rate at which the distance is changing relative to the radar device. The system also includes an imager having a second field of view at least partially overlapping the first field of view in an overlap field of view. The imager generates imager data measuring, when the object is in the second field of view, an angular position of the object relative to the imager in at least one dimension. In addition, the system includes a processor combining the radar data and imager data, when the object is in the overlap field of view, to identify a track of the object in at least two dimensions.

A system for tracking the movement of an object includes a radar device having a first field of view. The radar device generates radar data indicating one of a range corresponding to a distance of a moving object within the first field of view from the radar device and a range rate corresponding to a rate at which the distance is changing relative to the radar device. The system also includes an imager having a second field of view at least partially overlapping the first field of view in an overlap field of view. The imager generates imager data measuring, when the object is in the second field of view, an angular position of the object relative to the imager in at least one dimension. In addition, the system includes a processor combining the radar data and imager data, when the object is in the overlap field of view, to identify a track of the object in at least two dimensions.

An object-detecting device includes a first detector, an object tracker, a second detector, and an axial misalignment determiner. The first detector detects a distance between a moving body and an object and an orientation of the object relative to the moving body based on detection information acquired from detection sensors including a search wave sensor that searches a detection region with a search wave. The object tracker tracks the same object passing through a different detection region based on the detection information. The second detector detects at least either one of a height of the object or a lateral distance of the object as object information based on the detection information. The axial misalignment determiner determines whether axial misalignment has occurred in the search wave sensor based on the distance and the orientation of the object detected by the first detector based on the detection information from the search wave sensor and the object information detected in a different detection region by the second detector.

An object-detecting device includes a first detector, an object tracker, a second detector, and an axial misalignment determiner. The first detector detects a distance between a moving body and an object and an orientation of the object relative to the moving body based on detection information acquired from detection sensors including a search wave sensor that searches a detection region with a search wave. The object tracker tracks the same object passing through a different detection region based on the detection information. The second detector detects at least either one of a height of the object or a lateral distance of the object as object information based on the detection information. The axial misalignment determiner determines whether axial misalignment has occurred in the search wave sensor based on the distance and the orientation of the object detected by the first detector based on the detection information from the search wave sensor and the object information detected in a different detection region by the second detector.

An approach is provided for detecting a presence of a physical divider on a road segment. The approach, for example, involves receiving sensor data from a vehicle traveling a road segment. The sensor data indicates a distance from the vehicle to the physical divider, a cross-sensor consistency of detecting the physical divider between at least two sensors of the vehicle, or a combination thereof. The approach also involves determining that the sensor data indicates the presence of the physical divider based on determining that the distance is within distance criteria, the cross-sensor consistency is within consistency criteria, or a combination thereof. The approach further involves updating data provided by a physical divider signal from the vehicle to indicate the presence of the physical divider on the road segment.

Multi-mode multi-input multi-output (MIMO) radar sensors are described herein. An example MIMO radar sensor includes a receiver module including an array of receiver antenna elements to receive radar signals and a transmitter module including an array of transmitter antenna elements. Groups of the transmitter antenna elements form transmitter chains. The example MIMO radar sensor further includes a control system to, in a first mode, activate a first set of the transmitter antenna elements of each of the transmitter chains, and, in a second mode, activate a second set of the transmitter antenna elements of each of the transmitter chains, where the second set is larger than the first set. The transmitter antenna elements are arranged such that distances between phase centers of the transmitter chains in the first mode and the second mode are the same.