A vehicle includes a sensing device disposed at the vehicle so as to have an external field of view of the vehicle, configured to detect a target vehicle moving from the external field of view to a parking space and a plurality of stationary parked vehicles; a controller configured to obtain a first distance that is a width between the plurality of parked vehicles and a second distance that is a width between one parked vehicle of the plurality of parked vehicles and the target vehicle adjacent to the one parked vehicle; and a warner configured to output a warning signal based on a control command of the controller.

A radar sensor system receives or generates radar data indicative of radar returns received at an antenna array. An encoder neural network encodes the radar data into first embeddings defined in a first latent space. A transformer neural network receives the first embeddings and transforms the first embeddings to second embeddings defined in a second latent space. A decoder neural network receives the second embeddings and decodes the second embeddings to generate beamformed radar data.

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.

The present disclosure is directed to the transmission and reception of sets of very high frequency electromagnetic (EM) signals in ways that allow a sensing apparatus to discriminate between different sets of transmitted EM signals. Here a sensing apparatus may sequentially transmit different sets of EM signals. Each of these different sets of signals may include an encoded identifier that uniquely identifies each respective signal set of the different sets of signals. Each of these signal sets may include several pulses of a particular frequency with a same relative phase relationship followed by pulses that have a different phase relationship. These changes in phase may be used to encode the unique identifiers into the different sets of transmitted EM energy and these identifiers may be used by a sensing apparatus to associate specific received sets of EM energy with specific sets of transmitted EM energy.

The present disclosure is directed to focusing processing resources of a radar apparatus to radar data associated with specific locations around an autonomous vehicle (AV). Data associated with a type of sensing apparatus that is not a radar (e.g. a camera and/or a LiDAR apparatus) that tracks motion of specific objects around the AV may be used by a processor to identify specific sets of radar data to process. Locations associated with a specific set of tracked objects may be used to identify sets of received radar signals that will be processed by the radar apparatus. Radar signals received by the radar apparatus that are associated with locations that do not correspond to a location of a tracked object may be ignored by the radar apparatus to reduce a number of computational tasks that a processor of the radar apparatus must process.

The present embodiment relates to a vehicle control apparatus or a rear-end collision avoidance apparatus, and may optimally set a reactivation condition for performing reactivation of a rear emergency braking function based on whether an engine operates after the rear emergency braking function is deactivated by a driver's braking input in an operation such as backward parking or the like, a vehicle speed and vehicle traveling distance after the rear emergency braking function is deactivated, a separation distance from an initial stoppage position to an obstacle after the rear emergency braking function is deactivated, and the like, thereby securing both convenience and safety of the driver.

Provided is a vehicle including: a camera provided on the vehicle to have an external view of the vehicle and acquiring image data; a radar provided in the vehicle to have an external sensing field of view of the vehicle and obtaining radar data; and a controller including at least one processor for processing image data acquired by the camera and radar data acquired by the radar, and wherein when an attempt to change the lane of the vehicle is detected, the controller may detect other vehicle on the side of the lane to be changed based on the radar data, determine whether a collision with the other vehicle is possible based on driving information received from the other vehicle through a communication module of the vehicle, and transmit a warning signal for controlling the warning system of the vehicle to the vehicle in case of a collision with the other vehicle is expected.

Vehicles can include systems and apparatus for performing signal processing on sensor data from radar(s) and LiDAR(s) located on the vehicles. A method includes obtaining and filtering radar point cloud data of an area in an environment in which a vehicle is operating on a road to obtain filtered radar point cloud data; obtaining a light detection and ranging point cloud data of at least some of the area, where the light detection and ranging point cloud data include information about a bounding box that surrounds an object on the road; determining a set of radar point cloud data that are associated with the bounding box that surrounds the object; and causing the vehicle to operate based on one or more characteristics of the object determined from the set of radar point cloud data.

In order to improve accuracy of kind identification of a detected object in a radar device provided in a sensor fusion system, information of the result of kind identification by a camera device provided in the sensor fusion system is given to the radar device and an attribution degree database that is used for identification determination by the radar device during the operation of the sensor fusion system is updated by a database update block.

An object detection device includes a first sensor, a second sensor, a calculation range selector and an estimator. The first sensor outputs a radio frequency (RF) signal, receives a reflected RF signal reflected from an object, and obtains a first measurement value for the object based on a received reflected RF signal. The second sensor obtains a second measurement value for the object by sensing a physical characteristic from the object. The physical characteristic sensed by the second sensor is different from a characteristic of the object measured as the first measurement value obtained by the first sensor. The calculation range selector sets a first reference range based on the second measurement value. The first reference range represents a range of execution of a first calculation for detecting a position of the object using a first algorithm. The estimator performs the first calculation only on the first reference range using the first measurement value, and generates a first result value as a result of performing the first calculation. The first result value represents the position of the object.