A sensor unit including an object detection sensor and an inclination sensor is mounted to a vehicle, and axial misalignment of the object detection sensor is determined as follows. A first inclination angle acquiring step of disposing the sensor unit, so that a first predetermined direction is aligned with a second predetermined direction before the sensor unit is mounted to the vehicle, and acquiring a first inclination angle detected by the inclination sensor from the inclination sensor, is performed. Then, a second inclination angle acquiring step of mounting the sensor unit on the vehicle and acquiring a second inclination angle detected by the inclination sensor from the inclination sensor, is performed. Finally, an axial misalignment determining step of determining whether axial misalignment has occurred at the object detection sensor, based on the first inclination angle and the second inclination angle, is performed.

A polarimetric radar consisting of a transmission arrangement, in which the carrier signals have a circular polarization, wherein all the transmitters of the transmission arrangement are used simultaneously and each transmitter is operated by way of a transmission signal, which is modulated by way of an individual digital phase code, a receiver arrangement, which receives the reflected signals via an antenna arrangement, wherein there are both reception antennas that are configured for left-hand circularly polarized electromagnetic waves and reception antennas that are configured for right-hand circularly polarized electromagnetic waves, wherein the use of a plurality of transmitters and receivers provides an overall arrangement, which is operated in accordance with the multiple-input multiple-output method.

Various communication systems may benefit from enhanced reception methods. For example, various transponders and surveillance systems may benefit from reception methods that can distinguish between overlapping pulses from multiple sources. A method can include receiving, at an antenna, a first series of pulses from a first source. The method can also include receiving, at the antenna, a second series of pulses from a second source. The first series and the second series can at least partially overlap each other. The method can further include de-interleaving the first series from the second series using at least one non-time-domain technique.

A target detection device mounted in a vehicle includes: a radar specification unit; a same target determination unit; and an image specification unit that specifies, as image target position information, an image detection region of an image detection target detected on the basis of a captured image, the image detection region representing the position of the image detection target relative to the base point on an XY-plane with the X-axis representing the vehicle width direction of the vehicle and the Y-axis representing the vehicle length direction of the vehicle. The image specification unit sets the Y-axis range of the image detection region in the Y-axis direction on the basis of the bearing from the base point to each of the two X-directional ends of the image detection target in the captured image and of an expected width minimum value and an expected width maximum value in the X-axis direction.

An each pattern is provided a reception pathway, the method uses the synchronous replies and the asynchronous replies, unsolicited of Fruit type, transmitted by targets present in the aerial environment of the radar and detected over a given number of antenna revolutions. At each detection of a reply the value of its off-aim in bearing and the value of relative power received on each of the pathways are calculated as is its elevation by extrapolation with the synchronous detections close to the same target and associated with the detection. The values obtained over the given number of revolutions are stored, the measured patterns being sampled on the basis of the stored values.

An autonomous driving assembly for a vehicle includes a plurality of lidar units configured to be supported by a vehicle body. The lidar units are collectively configured to detect a periphery region in proximity to the vehicle body to aid in autonomous driving upon coupling the driving assembly to the vehicle body. Each of the plurality of lidar units has a field of view of less than about 180 degrees.

An object detection system comprises a first object detection unit detecting an object from a first radio frequency (RF) signal data comprising first set of characteristics representing a first object, a second object detection unit detecting the object from an optical image data and a calibration unit calibrating the first RF signal data from the optical image data, in that, the second object detection unit and the first object detection unit are aligned to detect the object in a first region.

A method for calibrating a sensor unit disposed on a load-bearing device of an industrial truck includes the steps of: determining a first position of the sensor unit relative to an object located remotely from the industrial truck, displacing the sensor relative to the object in a first direction by a first distance, determining a second position of the sensor unit relative to the object, determining the spatial position or arrangement of the sensor unit relative to the load-bearing device based on the first and second positions, the direction of movement, and the distance between the first and second positions.

A method and apparatus for detecting and estimating the dimension of a trailer are presented. The method includes: capturing information on surrounding static infrastructure; determining the existence of a trailer based upon the captured information on the surrounding static infrastructure. When it is determined that a trailer is present, the method further includes: filtering detections associated with the existence of the trailer; identifying one or more regions on a trailer based upon the filtered detections, the regions corresponding to repeated reflections having an amplitude equal to or greater than a predetermined amplitude threshold with a substantially constant range relative to a fixed origin; and determining at least one of a width, length, and height of the trailer based on the identified regions.

In one embodiment, a method includes accessing sensor data generated by one or more sensors of the vehicle, determining that a first beam angle of a radar of the vehicle provides insufficient radar visibility of a current road condition according to one or more criteria based on the sensor data, determining an amount of adjustment needed to adjust the first beam angle of the radar, adjusting the first beam angle of the radar to a second beam angle based on the determined amount of adjustment, and detecting one or more objects based on the second beam angle of the radar.