Ford Global Technolgoies, LLC

Ford Motor Company Limited

Raytheon Company

Jaguar Cars Limited

Ford Global Technology, LLC

Gerald H Engelman

Levasseur Tellis

M Nabeel Tarabishy

John Vincent Bond, Iii

Alex Maurice Miller

Jonas Ekmark

Timothy D Zwicky

Richard Lee Stephenson

Aaron Lewis Mills

Liwen Xu

Jonas L Z Jansson

Samir Mohamad Beydoun

John Patrick Joyce

Jianbo Lu

Brian Robert Spahn

Keith Glenn Mattson

Jeffrey Dan Rupp

Shunso F Watanabe

Gyu Myeong Joh

Steven J Eckert

Thomas Edward Pilutti

Christos T Kyrtsos

Matt Y Rupp

Steven D Bernstein

Nanjun Liu

Peter Gyumyeong Joh

Sarra Awad Yako

Andrew Waldis

Steven R Collins

Stephen Varghese Samuel

Kun Deng

Tyler Glenn

Wangdong Luo

Michael Julian Richardson

Leonard Murray Brown

Henrik Johannesson Lind

Philip Alexander Barber

Shadi Jammoul

Paul John King

Nigel John Clarke

Neil T Dionesotes

Jonas Lars Zakarias Jansson

Melvin Douglas Palmer

Alexander Modigsson

Roger A Trombley, Jr

Robert E Williams

Ju Chen

Farid Ahmed-Zaid

Paul Robert Haney

Apparatuses and methods for automated parking of autonomous vehicles are provided herein. An example method includes receiving, by an automated driving system of an autonomous vehicle, a pull over request during a trip to a destination; initiating, by the automated driving system, a pull over sequence, the pull over sequence including determining if the autonomous vehicle is within a pre-determined distance from the destination; stopping the autonomous vehicle when the autonomous vehicle is within the pre-determined distance; and when the autonomous vehicle is not within the pre-determined distance, initiating a parking sequence to park the autonomous vehicle at a nearest available parking location.

Systems and methods for automated stopping and/or parking of autonomous vehicles

First and second sets of data are collected in a vehicle from respective data sources. Each of the first and second sets of data are provided for determinations respectively selected from first and second categories of autonomous vehicle operations. A determination is made to take an autonomous action selected from the first category of autonomous vehicle operations. Data is used from each of the first and second data sets relating respectively to the first and second categories of autonomous vehicle operations to determine the autonomous action.

Autonomous driving sensing system and method

A time to collision is determined between a turning host vehicle and each of a plurality of targets. Based on a lateral distance and a longitudinal distance, a minimum distance is determined between the turning host vehicle and each of the plurality of targets. A threat number is determined for each target selected based on the time to collision and the minimum distance. A vehicle component is actuated based on the threat number.

Collision mitigation and avoidance

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.

Ultrasound range correction

A controller includes a processor and a memory storing processor-executable instructions. The processor is programmed to activate a first autonomy mode to control steering and at least one of propulsion and braking. The processor is further programmed to, while in the first autonomy mode, disregard a command from an occupant to perform an action interfering with an ability of the occupant to one of see a field of travel of a vehicle and provide input to the vehicle.

Semiautonomous vehicle control system

A vehicle has a restraint system with at least two restraint devices. A sensor detects a potential collision object and outputs a signal representing a relative position of the potential collision object to the vehicle. A processing device suppresses deployment of at least one of the restraint devices based at least in part on the signal output by the at least one sensor.

Adaptive suppression of vehicle restraint system

A vehicle includes an autonomous driving sensor configured to detect a road condition and output at least one road condition signal representing the road condition, an autonomous mode controller configured to control the vehicle according to the at least one road condition signal, and a communication module configured to broadcast the road condition signal.

Autonomous vehicle handling and performance adjustment

A computer in a first vehicle is programmed to receive a first set of data from at least one sensor in the first vehicle and to receive a second set of data from at least one second vehicle. The second set of data is from at least one sensor in the at least one second vehicle. The computer is further programmed to use both the first set of data and the second set of data to identify at least one feature of a road being traversed by the first vehicle.

Autonomous control in a dense vehicle environment

A roll stability control system for an automotive vehicle includes an external environment sensing system, such as a camera-based vision system, or a radar, lidar or sonar-based sensing system that generates image, radar, lidar, and/or sonar-based signals. A controller is coupled to the sensing system and generates dynamic vehicle characteristic signals in response to the image, radar, lidar, or sonar-based signals. The controller controls the rollover control system in response to the dynamic vehicle control signal. The dynamic vehicle characteristics may include roll related angles, angular rates, and various vehicle velocities.

Roll stability control system for an automotive vehicle using an external environmental sensing system

A control systemfor an automotive vehicle, such as an adaptive cruise control system, is provided including a navigation system. The navigation systemincludes a global positioning system. The navigation systemdetects a ramp and generates a navigation signal including navigation data and map data. A controlleris electrically coupled to the navigation system. The controllerin response to the navigation signal adjusts the speed of the vehicle

Ramp identification in adaptive cruise control

A roll stability control system () for an automotive vehicle () includes an external environment sensing system, such as a camera-based vision system, or a radar, lidar or sonar-based sensing system () that generates image, radar, lidar, and/or sonar-based signals. A controller () is coupled to the sensing system and generates dynamic vehicle characteristic signals in response to the image, radar, lidar, or sonar-based signals. The controller controls the rollover control system () in response to the dynamic vehicle control signal. The dynamic vehicle characteristics may include roll related angles, angular rates, and various vehicle velocities.

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

A system and method for brake pre-charging includes pre-filling brakes, based on proximity information from a forward-looking sensor, to reduce the initial delays associated with braking. By reducing the initial delay in converting driver brake pressure requests into actual brake torque to the wheels, the stopping distance required for braking is reduced.

System and method for brake pre-charging

A turn signal system includes at least one sensor detecting road markers and generating therefrom road marker signals. A turn signal deactivates in response to a control command generated by a controller. The controller receives the road marker signals, and determines at least one of whether the system is undergoing a turning condition or has completed the turning condition from the road marker signals. The controller generates the control command when the system has completed the turning condition. A redundancy system verifies the control command.

Vehicle turn signal system

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Plymouth, MI, United States of America

Gerald H Engelman