Veoneer Us, Inc.

Junru Di

Debra Rice

Shan Cong

Joe Attard

Kapil Gupta

Malakeh Sivako

A system and method for estimating the length of a trailer attached to a vehicle includes a processor and a sensor mounted to the vehicle and in communication with the processor. The sensor is configured to sense at least one target on the trailer and provide information to the processor regarding the location of the at least one target. The processor is configured to determine an estimate of the wheel based length (laa) of the trailer by utilizing a wheel angle (&#x3b1;) of the vehicle, a hitch point (zk) of the vehicle, the first hitch angle (&#x3b3;), a wheel base (lza) of the vehicle, a distance (lzk) between the hitch point (zk) and a front axle of vehicle, and a lane radius (rza). The processor is configured to determine the length of a trailer attached to the vehicle by utilizing the wheel based length (laa) of the trailer.

System and method for estimating the length of a trailer attached to a vehicle

A system and method for determining when a trailer is located behind a vehicle includes at least one detection device configured to detect objects located behind the vehicle and a processor. The processor is in communication with the at least one detection device and a plurality of signals generated by the vehicle. The processor receives data from the at least one detection device. The data includes a plurality of targets detected by the at least one detection device. Next, the processor determines if one or more clusters exists and clusters the targets into at least one cluster to form cluster features when one or more clusters exist. The processor determines vehicle state based on the vehicle dynamic features from the plurality of signals generated by the vehicle as well as global features from data from the at least one detection device and determines when the trailer is located behind the vehicle based on the cluster features, the vehicle state, and/or the global features.

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Ann Arbor, MI, United States of America

Junru Di