Valeo Radar Systems, Inc.

David Insana

Jeffrey Millar

Wilson J Wimmer

Akram Ahmadi

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.

Trailer detection and estimation system and related techniques

The present disclosure relates to detecting road surface conditions. A road surface detector comprises a transmitter, receiver, and one or more processors. The transmitter is configured to transmit one or more radio frequency (RF) beams at a road surface. The receiver is configured to receive RF reflections of the one or more transmitted RF beams at two or more receive channels. The one or more processors are to determine a road surface condition based on a doppler signature of the received RF reflections. A method comprises transmitting one or more radio frequency (RF) beams at a road surface. RF reflections of the one or more transmitted RF beams are receives at two or more receive channels. The method includes determining a road surface condition based on a doppler signature of the received RF reflections.

Methods and systems for detecting road surface conditions

A method and apparatus for detecting static objects and broadside objects in a vehicular radar system is presented. Detection data within a field of view for a host vehicle is acquired. A histogram process is used to determine a presence of at least one of a static object and a broadside vehicle. The histogram process includes generating ratios of a relative velocity of an object (Vr) to host velocity (Vh) from acquired detection data and determining a number of detections which occur at an angle &#x3b1; corresponding to an intersection of two lines with a first line represented by Vr/Vh=0 and a region of a second line within the FOV along which Vr/Vh&#x2260;0. The detections are filtered to identify only those detection points at a first and second predetermined values of &#x3b1;, wherein the identified detections indicate a presence of a static object and/or a broadside vehicle.

Broadside detection system and techniques for use in a vehicular radar

A radar sensor for use within a vehicle includes blockage detection functionality. In at least one embodiment, the radar sensor collects information on stationary infrastructure around the vehicle. The infrastructure information may be used to generate a Doppler Monopulse Image (DMI) or other graph for the sensor. A clutter ridge within the DMI or other graph may be analyzed determine a blockage condition of the sensor (i.e., unblocked, partially blocked, or fully blocked).

System and method for detecting blockage in an automotive radar

A radar imaging system and technique is described in which the imaging system generates an image and transforms the image into world coordinates taking into account host position and heading. Once in world coordinates, successive radar images can be summed (integrated, averaged) to produce an integrated image having a resolution which is improved compared with an originally generated image.

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Manchester, NH, United States of America

David Insana