A sensing system for a vehicle includes a radar sensor unit disposed at the vehicle so as to sense exterior of the vehicle. The radar sensor unit includes a radar housing that houses a radar sensor and associated circuitry. The radar sensor unit includes an outer element configured to correspond with an outer surface of a component of the vehicle at location where the radar sensor unit is disposed. The outer element includes a radome material and reduces attenuation of electromagnetic signals emitted by and received by the radar sensor as compared to attenuation of electromagnetic signals of the component of the vehicle.

A bumper assembly for a material handling vehicle is provided. The bumper assembly includes a main body which includes at least one cutout. The bumper assembly also includes a window plate that may be removably coupled to the main body and cover the at least one cut out. The bumper assembly can also include a lower section that may be removably coupled to the main body and includes a protection plate extending below the at least one cutout.

A sensing system for a vehicle includes a plurality of radio frequency (RF) sensor units disposed at the vehicle so as to have respective fields of sensing exterior of the vehicle. Each RF sensor unit includes a system on chip unit comprising a plurality of transmitting antennae and a plurality of receiving antennae, with each transmitting antenna transmitting RF signals and each receiving antenna receiving RF signals transmitted by each transmitting antenna to provide a respective field of sensing of each of the RF sensor units. Outputs of the RF sensor units are communicated to a control and, responsive to the outputs of the RF sensor units, the control determines the presence of one or more objects exterior the vehicle and within the field of sensing of at least one of the RF sensor units.

A method of estimating position of an obstacle of a plurality of obstacles with a radar apparatus. An azimuth frequency, an elevation frequency and a range of the obstacle are estimated to generate an estimated azimuth frequency, an estimated elevation frequency and an estimated range of the obstacle. A metric is estimated from one or more of the estimated azimuth frequency, the estimated elevation frequency and the estimated range of the obstacle. The metric is compared to a threshold to detect an error in at least one of the estimated azimuth frequency and the estimated elevation frequency. On error detection, a sign of at least one of the estimated azimuth frequency and the estimated elevation frequency is inverted to generate a true estimated azimuth frequency and a true estimated elevation frequency respectively.

A combination of a radar sensor and a trim component, which are to be mounted on a motor vehicle so that the trim component is penetrated by microwaves of the radar sensor, the trim component including at least one layer, which reflects a portion of the microwaves, the trim component including an additional layer, which is configured based on thickness and dielectric constant to reduce the reflection.

A vehicular sensing system includes a plurality of multiple input multiple output (MIMO) radar sensor units disposed at a vehicle so as to have respective fields of sensing exterior of the vehicle. Each MIMO radar sensor unit includes a plurality of transmitting antennas and a plurality of receiving antennas, with each transmitting antenna transmitting radar signals and each receiving antenna receiving radar signals. Outputs of the individual MIMO radar sensor units of the plurality of MIMO radar sensor units are provided to an electronic control unit (ECU) using a communication protocol of the vehicle and, responsive to the outputs of the MIMO radar sensor units, the ECU detects objects present exterior the vehicle. The vehicular sensing system adjusts the total number of transmitting and receiving antennas utilized by the plurality of MIMO radar sensor units in accordance with complexity of a surrounding environment of the vehicle.

An millimeter wave antenna includes an antenna body adapted to transmit and receive an electromagnetic wave of a millimeter wave band; and a radome that covers a transmitting and receiving surface of the antenna body. The transmitting and receiving surface and the radorm are apart from each other and have a space therebetween. The radome includes a gap adapted to allow the electromagnetic wave of the millimeter wave band to pass through the gap. A radar apparatus for vehicle includes the millimeter wave antenna.

A vehicle system includes a processor having a memory. The processor is programmed to receive a first distance signal output by a radar sensor and calibrate an ultrasound sensor in accordance with the first distance signal output by the radar sensor. A method includes receiving a first distance signal output by a radar sensor, receiving a second distance signal output by an ultrasound sensor, and calibrating the ultrasound sensor in accordance with the first distance signal output by the radar sensor.

Disclosed are an autonomous emergency braking system and a method of controlling the same, wherein at least one track corresponding to the target is formed using the received radar signal, it is determined whether the tracks are generated by another vehicle, and it is determined whether the tracks determined to be generated by the other vehicle are generated by an overhead structure. Accordingly, it is possible to prevent the overhead structure from being mistaken for a vehicle and thus to prevent a malfunction of the system and improve reliability.

A vehicle includes a communicator that is mounted on the vehicle to perform wireless communication with a server and a controller operates the communicator to transmit an accident reception request signal and image data acquired by another vehicle to the server when the vehicle has an accident with an accident target vehicle. The controller operates the communicator to receive a fault ratio from the server when the server generates fault ratio data between the vehicle and the accident target vehicle based on the image data.