A vehicular radar auxiliary jig includes a transverse extensible bar, two longitudinal extensible bars and two upright bars. The longitudinal extensible bars are perpendicularly connected to two ends of the transverse extensible bar, respectively. One end of each longitudinal extensible bar is positioned distal to the transverse extensible bar and provided with a tire securing portion. The upright bars are perpendicularly connected to two ends of the transverse extensible bar and are perpendicular to the longitudinal extensible bars, respectively. One end of each upright bar is positioned distal to the transverse extensible bar and provided with a mounting portion, thereby connecting to an electromagnetic wave component. A vehicular radar mounting method and vehicular radar detecting method, each using the vehicular radar auxiliary jig, are provided. The vehicular radar auxiliary jig, vehicular radar mounting method and vehicular radar detecting method enable a vehicular radar to be mounted and tested efficiently.

An in-vehicle radar signal control method includes: determining a target interference area of a first vehicle, a vehicle in the target interference area interfering with an in-vehicle radar signal of the first vehicle; determining vehicles in the target interference area as a first vehicle cluster, and determining strength of in-vehicle radar signals of vehicles in the first vehicle cluster; determining whether a new second vehicle enters the target interference area; and in response to a determination that the second vehicle enters the target interference area, obtaining an adjustment signal; the adjustment signal indicating one or more of: increasing or reducing strength of the in-vehicle radar signal of the first vehicle, adjusting a travel speed of the first vehicle, and adjusting a travel direction of the first vehicle.

Methods, systems, and devices for wireless communications are described. A user equipment (UE), such as a vehicle that is enabled with radar detection and ranging, may include multiple radars or radar components and may receive, at a first radar, a first radar waveform in a field of view (FOV) associated with the first radar. The UE may determine a trajectory of the target object which may indicate the target object entering a FOV of a second radar. The UE may receive, at the second radar, a second radar waveform in the FOV of the second radar and may associate the second radar waveform with the target object based on the trajectory of the target object and the second radar waveform being in the FOV of the second radar.

Systems and methods for generating simulated LiDAR data using RADAR and image data are provided. An algorithm is trained using deep-learning techniques such as loss functions to generate simulated LiDAR data using RADAR and image data. Once trained, the algorithm can be implemented in a system, such as a vehicle, equipped with RADAR and image sensors in order to generate simulated LiDAR data describing the system's environment. The simulated LiDAR data may be used by a vehicle control system to determine, generate, and implement modified driving operations.

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.

A dump truck, which travels in travel directions and dumps loads in a dumping direction collinear to one of the travel directions, includes: a chassis provided with tires at front and rear parts in the travel direction; an obstacle detector provided at a dump-side end of the chassis, the obstacle detector detecting an obstacle in the dumping direction of the chassis; and a shifter that is capable of moving the obstacle detector to a first position at which the obstacle detector protrudes beyond dump-side ends of the tires and to a second position at which the obstacle detector is located inner than the dump-side ends of the tires.

A method for automatically adjusting correction information in a radar system of a vehicle. The method includes: performing at least one acquisition of at least one item of acquisition information by a radar sensor, the acquisition information being specific to at least one item of angle information and one item of distance information relating to at least one detected object in an environment of the vehicle. An identification of a reference object is performed in the environment on the basis of the acquisition information. An ascertainment of the distance information relating to the reference object is performed on the basis of the acquisition information. The adjustment of the correction information is performed on the basis of the ascertained distance information relating to the reference object in order to provide a correction of the angle information.

Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.

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.