Ford Global Technolgoies, LLC

Gyu Myeong Joh

Gerald H Engelman

Levasseur Tellis

M Nabeel Tarabishy

John Patrick Joyce

Jeffrey Dan Rupp

Anthony Gerald King

Jonas Ekmark

Hubert Szawarski

Timothy D Zwicky

John Vincent Bond, Iii

Stephen Varghese Samuel

Wangdong Luo

Mark Alan Shehan

Nigel John Clarke

Roger A Trombley, Jr

Charlie Yung Kang Hung

Saed Ehsani

Robert E Williams

Charlie Hung

A collision detection system includes at least one sensor. The data from the sensor is input to a recursive filter which selectively uses the input to predict the motion of a target object relative to a host vehicle. The recursive filter continues to use the data from the sensor until the target object is within a threshold distance of the host vehicle. Within the threshold distance, the sensor does not reliably provide accurate data. Accordingly, the recursive filter omits the sensor input from motion estimates when the target object is within the threshold distance, which leads to significant improvement in target motion prediction.

Method and system for impact time and velocity prediction

A system for detecting an alignment of a sensor mounted on a vehicle and a method of making the same is disclosed. The system includes a vehicle windshield having the sensor mounted thereto at a predetermined location. At least one conductive strip is included having a first and a second end, wherein the conductive strip is attached to the windshield. The system further includes at least one conductive point disposed between the windshield and the sensor and mounted at the first and the second end. The conductive point establishes a closed circuit between the conductive strip and the sensor so long as the sensor is mounted to the windshield at the predetermined location. Upon displacement of the sensor from the predetermined location, an open circuit occurs between the conductive strip and the conductive point. Accordingly, the sensor generates signals indicating the misalignment of the sensor.

System for detecting an alignment of vehicle mounted sensors

Methods of performing threat assessment of objects for a vehicle include detecting an object. Kinematics of the vehicle and of the object are determined. A brake threat number and a steering threat number are determined in response to the kinematics of the vehicle and the object. The threat posed by the object is determined in response to the brake threat number and the steering threat number.

Threat level identification and quantifying system

An adaptive cruise control (ACC) system ( ) for a host vehicle ( ) is provided. The ACC system ( ) includes a forward-looking sensor ( ) generating a range signal corresponding to a distance between the host vehicle ( ) and a target vehicle. The forward-looking sensor ( ) also generates a range rate signal corresponding to a rate that the distance between the host vehicle ( ) and the target vehicle is changing. A controller ( ) is electrically coupled to the forward-looking sensor ( ). The controller ( ) maintains a preset headway distance between the host vehicle ( ) and the target vehicle, when the host vehicle velocity is less than about 40 KPH, by adjusting the host vehicle velocity in response to the range signal and the range rate signal. A method for performing the same is also provided.

Stop and go adaptive cruise control system

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Bloomfield Hills, MI, United States of America

Gyu Myeong Joh