A detection system includes a first-sensor, a second-sensor, and a controller. The first-sensor is mounted on a host-vehicle. The first-sensor detects objects in a first-field-of-view. The second-sensor is positioned at a second-location different than the first-location. The second-sensor detects objects in a second-field-of-view that at least partially overlaps the first-field of view. The controller is in communication with the first-sensor and the second-sensor. The controller selects the second-sensor to detect an object-of-interest in accordance with a determination that an obstruction blocks a first-line-of-sight between the first-sensor and the object-of-interest.

Disclosed is a technique for processing signals received from a radar and, in particular, a technique for tracking a target on the basis of detected target candidate signals. The proposed invention introduces a recurrent neural network with a memory function in order to find a target signal from signals with noise and fake signals mixed therein. This recurrent neural network is trained to have a maximum of Q tracking buffers therein. According to an additional aspect, it is possible to increase tracking accuracy through a serial connection of the recurrent neural network. According to an additional aspect, it is possible to track multiple targets through a parallel connection of the recurrent neural network.

Technologies for calibrating radars and tracking space objects. Some of such technologies enable a technique for calibrating a radar based on using -A- an elemental antenna (308), which can be embedded on a housing hosting a set of antenna elements, or -B- an antenna (146) mounted to a reflector. Some of such technologies enable a radar site containing a first 1D phased array (112) and a second 1D phased array (112), where the first 1D phased array sends a set of signals and receives a set of reflections based on the set of signals, and the second 1D phased array receives the set of reflections.

Technologies for calibrating radars and tracking space objects. Some of such technologies enable a technique for calibrating a radar based on using -A- an elemental antenna (308), which can be embedded on a housing hosting a set of antenna elements, or -B- an antenna (146) mounted to a reflector. Some of such technologies enable a radar site containing a first 1D phased array (112) and a second 1D phased array (112), where the first 1D phased array sends a set of signals and receives a set of reflections based on the set of signals, and the second 1D phased array receives the set of reflections.

Techniques for performing gesture recognition with an electronic device are disclosed where the electronic device has a wireless communications capability using beamforming techniques and includes a plurality of millimeter wave antenna modules, each antenna module including at least one transmit antenna and at least one receive antenna, the antennas being operable in one or more frequency ranges greater than 20 GHz. Performing gesture recognition includes: simultaneous operation of the at least one transmit antenna and the at least one receive antenna so as to provide a radar capability; and detecting a presence and motion of a reflective object by analyzing magnitude and phase of signals received by the at least one receive antenna and resulting from reflection of signals transmitted by the transmit antenna and reflected by the reflective object.

Techniques for performing gesture recognition with an electronic device are disclosed where the electronic device has a wireless communications capability using beamforming techniques and includes a plurality of millimeter wave antenna modules, each antenna module including at least one transmit antenna and at least one receive antenna, the antennas being operable in one or more frequency ranges greater than 20 GHz. Performing gesture recognition includes: simultaneous operation of the at least one transmit antenna and the at least one receive antenna so as to provide a radar capability; and detecting a presence and motion of a reflective object by analyzing magnitude and phase of signals received by the at least one receive antenna and resulting from reflection of signals transmitted by the transmit antenna and reflected by the reflective object.

Methods and systems include, in at least one aspect: determining an optical model of an object in flight using two dimensional image data obtained from a camera, determining a radar model of the object in flight using radar data obtained from a radar device, combining the radar model with the optical model to produce three dimensional location information of the object in flight in three dimensional space, comparing the three dimensional location information of the object in flight with data representing an expected ball launch, and rejecting (or verifying) the object as an actual ball launch in response to the three dimensional location information of the object in flight differing (or not differing) from the data representing the expected ball launch by a threshold amount.

Methods and systems include, in at least one aspect: determining an optical model of an object in flight using two dimensional image data obtained from a camera, determining a radar model of the object in flight using radar data obtained from a radar device, combining the radar model with the optical model to produce three dimensional location information of the object in flight in three dimensional space, comparing the three dimensional location information of the object in flight with data representing an expected ball launch, and rejecting (or verifying) the object as an actual ball launch in response to the three dimensional location information of the object in flight differing (or not differing) from the data representing the expected ball launch by a threshold amount.

In one embodiment, a method of adjusting a speed limit of an ADV includes the operations of tracking objects within a field of view of the ADV; and identifying a set of stable objects from the objects tracked by the ADV based on a set of requirements. The method further includes the operations of identifying a subset of objects from the set of stable objects, the subset of objects having longest distances to the ADV; calculating a detection distance by averaging distances from the subset of stable obstacles to the ADV; and adjusting the speed limit of the ADV based on the detection distance using a predetermined algorithm.

A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data, an object located along a path of travel of the vehicle, determine that the object is a moveable object based on a radar return of a radar reflector of the object, and responsive to the determination that the object is the moveable object, adjust, by the adaptive cruise control feature, the speed of the vehicle.