A method for checking a calibration of N environmental sensors, wherein the N environmental sensors acquire an environment and each provide sensor data, N subfusions are formed from the acquired sensor data, each of the N subfusions leaves sensor data of one singular one of the N environmental sensors unconsidered upon the fusing, fusion results of the N subfusions are compared to one another, an incorrect calibration of the N environmental sensors is established based on a comparison result, and a check result is provided. Also disclosed are an associated device and a transportation vehicle.

A method of testing vehicular radar includes acquiring binary phase codes of transmitters in a radar DUT; acquiring desired FOVs and desired angular resolutions of the transmitters to determine target angles of emulated targets; calculating far field phases of a PMCW signal for binary phase states of the transmit array at each of the target angles to determine resultant phase symbol streams; calculating excess roundtrip time delay for each emulation delay, between the DUT and the emulated targets, and each setup delay between the DUT and each emulator receiver; time-shifting the resultant phase symbol streams by the excess roundtrip time delays; subtracting the time-shifted resultant phase symbol streams from the resultant phase symbol streams to obtain difference phase symbol streams; modulating a PMCW signal transmitted by the DUT by the difference phase symbol streams; and emulating the echo signals at the target angles in response to the modulated PMCW signal.

A six-port self-injection-locked (SIL) radar includes an oscillation element, an antenna element, a six-port frequency demodulation element and a signal processing element. Because of a coupler and a phase shifter of the six-port frequency demodulation element, the signal processing element can extract vibration information of subject by using only two demodulated signals output from the six-port frequency demodulation element. As a result, the operation frequency of the six-port SIL radar is not limited by hardware architecture, and the hardware costs and the power consumption are also reduced.

The disclosure relates to a sensor assembly for a vehicle, comprising: a sensor body; and a positioning bracket for positioning the sensor body. A first rotary shaft and a second rotary shaft are respectively provided on the opposing first and second sides of the sensor body, and the first rotary shaft and the second rotary shaft are respectively rotatably accommodated in a first rotary shaft receiving portion and a second rotary shaft receiving portion provided on the positioning bracket so as to achieve the rotation of the sensor body relative to the positioning bracket. A toothed structure is provided on a third side of the sensor body, other than the first side and the second side, and a detent structure is correspondingly provided on the positioning bracket, and when the sensor body rotates to a desired angle relative to the positioning bracket, fixing of the sensor body relative to the positioning bracket is enabled by means of the engagement between the toothed structure and the detent structure. The disclosure further relates to a vehicle comprising the sensor assembly.

A radar calibration system is for being disposed on a vehicle. The radar calibration system includes a sensing unit and a housing. The sensing unit includes a receiving antenna array, which includes at least four receiving antennas. The receiving antennas are arranged on an antenna plane and have a receiving antenna center. A distance between the receiving antenna center and a ground plane is greater than 40 cm. The receiving antennas are arranged asymmetrically with respect to the receiving antenna center. The housing includes a bottom surface, which is attached on an outer surface of the vehicle. The sensing unit is disposed in the housing. An antenna plane angle between the antenna plane and the outer surface of the vehicle is in a range of 0 degrees to 90 degrees.

A radar calibration system is for being disposed on a vehicle. The radar calibration system includes a sensing unit and a housing. The sensing unit includes a receiving antenna array, which includes at least four receiving antennas. The receiving antennas are arranged on an antenna plane and have a receiving antenna center. A distance between the receiving antenna center and a ground plane is greater than 40 cm. The receiving antennas are arranged asymmetrically with respect to the receiving antenna center. The housing includes a bottom surface, which is attached on an outer surface of the vehicle. The sensing unit is disposed in the housing. An antenna plane angle between the antenna plane and the outer surface of the vehicle is in a range of 0 degrees to 90 degrees.

The invention relates to a method and a motor vehicle comprising a sensor assembly for a 360° detection of the motor vehicle surroundings. The sensor assembly has multiple sensors of the same type, wherein each of the multiple sensors has a specified detection region and the sensors are distributed around the exterior of the motor vehicle such that the detection regions collectively provide a complete detection zone which covers the surroundings in a complete angle about the motor vehicle at a specified distance from the motor vehicle. The sensors are each designed to detect the surroundings in their respective detection region as respective sensor data in respective successive synchronized time increments. The sensor assembly has a pre-processing mechanism which fuses the sensor data of each of the sensors in order to generate a three-dimensional image of the surroundings for a respective identical time increment and provides same in a common database.

The invention relates to a method and a motor vehicle comprising a sensor assembly for a 360° detection of the motor vehicle surroundings. The sensor assembly has multiple sensors of the same type, wherein each of the multiple sensors has a specified detection region and the sensors are distributed around the exterior of the motor vehicle such that the detection regions collectively provide a complete detection zone which covers the surroundings in a complete angle about the motor vehicle at a specified distance from the motor vehicle. The sensors are each designed to detect the surroundings in their respective detection region as respective sensor data in respective successive synchronized time increments. The sensor assembly has a pre-processing mechanism which fuses the sensor data of each of the sensors in order to generate a three-dimensional image of the surroundings for a respective identical time increment and provides same in a common database.

Examples disclosed herein relate to a radiating structure. The radiating structure has a transmission array structure having a plurality of transmission paths with each transmission path having a plurality of slots and a pair of adjacent transmission paths forming a superelement. Each superelement has a phase control module to control a phase of a transmission signal. The radiating structure also includes a radiating array structure having a plurality of radiating elements configured in a lattice, with each radiating element corresponding to at least one slot from the plurality of slots and the radiating array structure positioned proximate the transmission array structure. A feed coupling structure is coupled to the transmission array structure and adapted for propagation of a transmission signal to the transmission array structure. The transmission signal is radiated through at least one superelement and at least one of the plurality of radiating elements and has a phase controlled by the phase control module in the at least one superelement.

A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.