Abstract: A method for implementing radar-communication integration of a vehicle, where the method includes obtaining, by a radar device of a first vehicle, a first communication message, modulating the first communication message into a first carrier signal, where an operating frequency of the first carrier signal is in an operating band of the radar device, sending a periodic radar signal, and sending the first carrier signal to a second vehicle within a time gap between sending of a radar signal in a current period and sending of a radar signal in a next period.

Abstract: A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle.

Abstract: A multisensor data fusion perception method includes receiving feature data from a plurality of types of sensors, obtaining static feature data and dynamic feature data from the feature data, constructing current static environment information based on the static feature data and reference dynamic target information, and constructing current dynamic target information based on the dynamic feature data and reference static environment information such that construction of a dynamic target and construction of a static environment are performed by referring to each other's construction results and the perception capability is for the dynamic target and the static environment that are in an environment in which the moving carrier is located.

Abstract: A sensing apparatus comprises one or more radar and/or lidar sensors configured to collect a plurality of position including distance and/or direction measurement values for a plurality of objects associated with a traffic scenario in the vicinity of the apparatus. The sensing apparatus further comprises a processing circuitry configured to obtain auxiliary data associated with one or more of the plurality of objects in the vicinity of the apparatus and to assign or map a respective position measurement value of the plurality of position measurement values to a respective object of the plurality of objects in the vicinity of the apparatus on the basis of the auxiliary data.

Abstract: The present disclosure provides a two-dimensional antenna system. The two-dimensional antenna system includes a transmitting antenna array and a receiving antenna array. The transmitting antenna array includes one or more circularly polarized transmitting antennas having a first direction of rotation. The receiving antenna array includes two or more first circularly polarized receiving antennas having a second direction of rotation arranged in a first direction, and two or more second circularly polarized receiving antennas having the second direction of rotation arranged in a second direction. The first direction is perpendicular to the second direction, and the first direction of rotation is opposite to the second direction of rotation.

Abstract: A multisensor data fusion perception method includes receiving feature data from a plurality of types of sensors, obtaining static feature data and dynamic feature data from the feature data, constructing current static environment information based on the static feature data and reference dynamic target information, and constructing current dynamic target information based on the dynamic feature data and reference static environment information such that construction of a dynamic target and construction of a static environment are performed by referring to each other's construction results and the perception capability is for the dynamic target and the static environment that are in an environment in which the moving carrier is located.

Abstract: A multisensor data fusion perception method includes receiving feature data from a plurality of types of sensors, obtaining static feature data and dynamic feature data from the feature data, constructing current static environment information based on the static feature data and reference dynamic target information, and constructing current dynamic target information based on the dynamic feature data and reference static environment information such that construction of a dynamic target and construction of a static environment are performed by referring to each other's construction results and the perception capability is for the dynamic target and the static environment that are in an environment in which the moving carrier is located.

Abstract: A map building apparatus includes a memory storing instructions, and a processor executing the instructions to obtain a plurality of frames of images that carry image information of a target environment, obtain a motion parameter of the image capture component at a capture location of each frame of the plurality of frames of images, obtain a relative displacement between capture locations of each two frames of images based on the motion parameter of the image capture component, obtain, based on the plurality of frames of images and the relative displacement, a map layer including feature points in the plurality of frames of images, and send the map layer and the relative displacement to a server. The plurality of frames of images are captured by an image capture component. The motion parameter indicates a motion status of the image capture component. The map layer is useable to build a map.

Abstract: A method and apparatus for identifying behavior of a target, and a radar system applied to an automated driving scenario include receiving a radar echo signal from a target, processing the radar echo signal to obtain time-frequency domain data, processing the time-frequency domain data to obtain signal attribute feature data representing a first feature of a radar echo signal attribute and linear prediction coefficient (LPC) feature data representing a second feature of the radar echo signal, inputting the signal attribute feature data and the LPC feature data into a behavior identification model, and outputting behavior information of the target.

Abstract: A method for implementing radar-communication integration of a vehicle, where the method includes obtaining, by a radar device of a first vehicle, a first communication message, modulating the first communication message into a first carrier signal, where an operating frequency of the first carrier signal is in an operating band of the radar device, sending a periodic radar signal, and sending the first carrier signal to a second vehicle within a time gap between sending of a radar signal in a current period and sending of a radar signal in a next period.

Abstract: A vehicle positioning method and apparatus, where the vehicle positioning method includes obtaining measurement information within preset angle coverage at a current frame moment using a measurement device, determining, based on the measurement information, current road boundary information corresponding to the current frame moment, determining first target positioning information based on the current road boundary information, determining road curvature information based on the current road boundary information and historical road boundary information, and outputting the first target positioning information and the road curvature information.

Abstract: An unmanned movable platform (UMP) includes at least one sensor configured to detect a movement associated with the UMP, at least one radar configured to transmit a radar signal, and at least one processor configured to receive a sensor signal associated with the movement from the at least one sensor and direct the at least one radar to adjust a direction of a beam of the radar signal based at least in part on the sensor signal.

Abstract: A method for radar-based object avoidance for a movable platform includes performing a plurality of “ping-pong” measurements to receive electromagnetic signals corresponding to an object and background clutters by a radar of the movable platform, and distinguishing the object from the background clutters. Each of the “ping-pong” measurements includes a first measurement and a second measurement. A first direction of the first measurement is different from a second direction of the second measurement.

Abstract: The present disclosure provides a two-dimensional antenna system. The two- dimensional antenna system includes a transmitting antenna array and a receiving antenna array. The transmitting antenna array includes one or more circularly polarized transmitting antennas having a first direction of rotation. The receiving antenna array includes two or more first circularly polarized receiving antennas having a second direction of rotation arranged in a first direction, and two or more second circularly polarized receiving antennas having the second direction of rotation arranged in a second direction. The first direction is perpendicular to the second direction, and the first direction of rotation is opposite to the second direction of rotation.