An object information acquisition unit acquires object information including an object distance between a radar device and a reflection object and an object azimuth angle at which the reflection object is located. A roadside object extraction unit extracts roadside object information on a roadside object from the object information. An axis deviation angle estimation unit estimates a vertical axis deviation angle from the roadside object information. The vertical axis deviation angle is an angle of deviation of an actual mounting direction from a reference mounting direction in a vertical direction. The actual mounting direction is an actual direction of the radar device, and the reference mounting direction is a direction of the radar device when the radar device is mounted in a reference state.

In one embodiment, a method includes determining an operational status of a vehicle including a radar antenna. The operational status is related to autonomous-driving operations of the vehicle in an environment. The method includes determining an expected amount of signaling resources associated with the radar antenna to be utilized by the vehicle while the vehicle performs the autonomous-driving operations, based at least on the operational status of the vehicle and the environment. The method includes determining to switch one or more of the signaling resources associated with the radar antenna from a first mode to a second mode based on the expected amount of signaling resources to be utilized by the radar antenna while the vehicle performs the autonomous-driving operations. The method includes causing the one or more of the signaling resources associated with the radar antenna to switch from the first mode to the second mode.

A lighting body for a vehicle includes a housing, an outer lens configured to form a lamp chamber between the housing and the outer lens, a millimeter wave radar disposed outside the lamp chamber and transmits millimeter waves toward a side outward of the vehicle, and a light source disposed in the lamp chamber and emits light toward the side outward of the vehicle through the outer lens, the millimeter wave radar being held in the housing in a state the millimeter wave radar is combined with the housing from an inward side of the vehicle, a first functional membrane allows penetration of the millimeter waves and allows penetration and reflection of the light being formed on the outer lens, and a second functional membrane allows penetration of the millimeter waves and allows at least reflection of the light reflected by the first functional membrane being formed on the housing.

The present disclosure relates to a vehicle radar device, a controlling method thereof, and radar system. A radar device according to an embodiment includes a transceiver being controlled to transmit the transmission signal in an operating frequency band according to a selection mode among a plurality of frequency band modes and to receive the reception signal through the receiving antenna, and a mode selector dynamically determining one of the plurality of frequency band modes as the selection mode based on at least one of a target distance to the target and a maximum detection distance for each frequency band. According to embodiments of the present disclosure, the distance resolution of the radar can be optimized by dynamically varying the frequency bandwidth linked with the maximum detection distance according to a target distance under specific driving conditions.

Provided herein is a system and method to determine a three-dimensional heading of a target. The system includes a radar sensor that obtains a three-dimensional snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a three-dimensional heading of the target based on the spatial positions; conducting a second estimation of the three-dimensional heading of the target based on the Doppler velocities; and obtaining a combined estimation of the three-dimensional heading of the target based on a weighted sum of the first estimation and the second estimation.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A sensor device includes an emitter configured to emit radiation a detector configured to detect radiation reflected from an object and a cover having an interior surface facing the emitter or detector and allowing the radiation to pass through the cover. The sensor device also includes a heater with a wire-like trace directly deposited on the interior surface of the cover formed of a fluid comprising an electrically conductive material that was deposited onto a portion of the cover and cured. The heater has an electrically conductive connector pad formed with the heater by directly depositing and curing the fluid comprising the electrically conductive material directly on the interior surface of the cover simultaneously with forming the heater. The heater is positioned and arranged to sufficiently heat the cover while not blocking an area through which radiation must pass for proper operation of the emitter and the detector.

An apparatus and the like for controlling a mobile body that are capable of adjusting a detection result by a radar device in accordance with a three-dimensional shape for each region of a three-dimensional map generated from an image captured by an image-capturing device are provided. A mobile body control unit 105 is an apparatus for controlling the vehicle (mobile body) including an image-capturing device 101 and a millimeter wave radar device 102 (radar device). A three-dimensional map generation unit 203 generates a three-dimensional map around the vehicle from an image captured by the image-capturing device 101. A radar weight map estimation unit 204 (weight estimation unit) estimates the weight of the detection result by the millimeter wave radar device 102 for each region of the three-dimensional map from the three-dimensional shape for each region of the three-dimensional map. A weight adjustment unit 205 (adjustment unit) adjusts a detection result by the millimeter wave radar device 102 on the basis of a weight.

An axis deviation detection device detects a deviation of a central axis of an in-vehicle measurement device that executes measurement using radar waves. The axis deviation detection device performs correction of data that are obtained by the measurement device, to generate first data. Furthermore, the axis deviation detection device generates second data, based on behavior of the vehicle as measured by a sensor unit. The axis deviation detection device then detects the deviation of the central axis, from the first and second data.

According to an aspect of the present disclosure, a collision warning apparatus of a vehicle may include an information acquisition device that obtains surrounding object information and vehicle information and a controller that generates collision prediction information of a surrounding object based on the surrounding object information and the vehicle information and provides a warning to an outside of the vehicle or generates control information for controlling braking of the vehicle while providing the warning to the outside of the vehicle based on the collision prediction information.