A radar apparatus for a vehicle includes radar sensors, and a controller configured to generate information on the object based on a radar signal reflected by the object entering the fields of sensing of the radar sensors, wherein the controller, when the object is duplicately detected by two or more of the radar sensors, integrates two or more pieces of information on the objects detected by the two or more radar sensors, respectively, into one, and when the object moves from a field of sensing of a first radar sensor to a field of sensing of a second radar sensor, performs control to hand over the information on the object between the first radar sensor and the second radar sensor. Accordingly, information on an object detected by a radar sensor can be efficiently processed and an object moving through fields of sensing of radar sensors can be continuously detected.

Methods and systems are provided for generating an on-demand distributed aperture by mechanical articulation. In some aspects, a process can include steps for determining a location of an autonomous vehicle, determining whether a maneuver requires long range detections or medium range detections based on the location of the autonomous vehicle, positioning at least two articulated radars based on the determining of whether the maneuver requires long range detections or medium range detections, and enabling a mode of resolution based on the positioning of the at least two articulated radars and by utilizing a static radar. Systems and machine-readable media are also provided.

A vehicle exterior component, such as a handle assembly, a light module, a minor housing, or an applique holds a radar sensor. A stand-alone radar module for mounting within a vehicle exterior component comprises a module housing defining an interior space configured to hold a radar module including a heat source, and a sealing material extending between the radar module and the module housing for blocking moisture and other contaminants. Several different arrangements attaching a heat sink to a radar IC for dissipating heat from the radar IC are provided.

An apparatus includes an inverse radar sensor model processor and a grid mapping processor. The inverse radar sensor model processor receives radar sensor data for a time k from a radar sensor, generates object data based on the radar sensor data, and calculates instantaneous masses at the time k for each cell in a field of view (FOV) of the radar sensor based on the object data and a sensor characteristic. The inverse radar sensor model processor outputs the calculated instantaneous masses to the grid mapping processor, which also receives accumulated masses for each cell in the FOV for a time period 0:k - 1. An accumulated mass represents a combination of instantaneous masses for the cell at each time increment in the time period 0:k - 1. The grid mapping processor generates updated accumulated masses for a time period 0:k.

An electronic device includes a plurality of sensors installed in predetermined orientations at different positions. Each of the plurality of sensors includes a transmission antenna that transmits a transmission wave, a reception antenna that receives a reflected wave that is the transmission wave having been reflected, and a control unit that detects an object that reflects the transmission wave, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The electronic device further includes a determination unit that determines a shift in orientation of at least any of the plurality of sensors, based on detection results of an object obtained by the plurality of sensors.

According to one aspect, a radar system suitable for use in an autonomous vehicle is configured to provide a relatively high resolution in azimuth. The radar system may include multiple antenna blocks which may each include a transmitter and a receiver, and may be provided in an array, e.g., in a horizontal array. Each radar block may define an airgap therein which includes azimuth power dividers, elevation power dividers, vertical power dividers, and open-ended waveguides.

A radar system (210) for a vehicle (200), comprising a plurality of radar transceivers (202, 203, 204, 205) and a control unit (208). Each radar transceiver (202, 203, 204, 205) is associated with a main pointing direction (P1, P2, P3, P4) and a certain frequency sub-band (A, B, C, D), where the sub-bands (A, B, C, D) together form a certain dedicated frequency band. The control unit (208) is adapted to define heading intervals which divide a full turn interval 0°-360° into sections, assign a corresponding sub-band (A, B, C, D) to each heading interval, determine a present vehicle heading (F), and to assign a corresponding sub-band (A, B, C, D) to each one of the radar transceivers (202, 203, 204, 205) in dependence of the heading interval that includes the present vehicle heading (F).

Parking sensor system for a vehicle (1). The system includes one or more sensor assemblies (4) for mounting to elevated mounting locations (8,9,10) on the vehicle (1), each including a RADAR sensor (7) having a downwardly facing field of view for detecting objects below the respective elevated mounting location (8,9,10) during a parking operation. At least one of the sensor assemblies (4) may further include a parking camera (6) having a downwardly facing field of view for viewing objects below the elevated mounting location (8,9,10) during the parking operation.

Various examples of the present disclosure include a stereoscopic deep neural network (DNN) that produces accurate and reliable results in real-time. Both LIDAR data (supervised training) and photometric error (unsupervised training) may be used to train the DNN in a semi-supervised manner. The stereoscopic DNN may use an exponential linear unit (ELU) activation function to increase processing speeds, as well as a machine learned argmax function that may include a plurality of convolutional layers having trainable parameters to account for context. The stereoscopic DNN may further include layers having an encoder/decoder architecture, where the encoder portion of the layers may include a combination of three-dimensional convolutional layers followed by two-dimensional convolutional layers.

A split-steer amplifier with an invertible phase output, includes a first transistor having its base coupled to a positive node of an input port, its emitter coupled to ground, and collector connected to a positive intermediate node; a second transistor having its base coupled to a negative node of the input port, its emitter coupled to ground, and collector connected to a negative intermediate node; and multiple output ports each having a transistor arrangement operable to couple a positive node of that output port to the positive intermediate node and a negative node of that output port to the negative intermediate node, operable to couple the positive node of that output port to the negative intermediate node and the negative node of that output port to the positive intermediate node, and operable to decouple the positive node and the negative node of that output port from the intermediate nodes.