Ford Global Technologies, LLC

Erol Dogan Sumer

Mrdjan J Jankovic

Michael Hafner

Abhishek Sharma

Aakar Mehra

Alexander Jaeckel

Mohit Srinivasan

Yan Wang

Dimitar Petrov Filev

Hongtei Eric Tseng

Raj Sohmshetty

James Carthew

Mohammad Farid

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive sensor data indicating an obstacle, formulate a control barrier function for a vehicle and the obstacle based on the sensor data, determine a control input based on the control barrier function and a combination function, and actuate a component of the vehicle according to the control input. The combination function is a sum of a first function weighted by a first weight and a second function weighted by a second weight, and the first weight and the second weight are based on a kinematic state of the obstacle.

Obstacle avoidance for vehicle

A system includes a processor and a memory. The memory stores instructions executable by the processor to determine a virtual barrier around a vehicle based on receiving a first user input and data indicating a vehicle sprung mass, upon receiving a second user input selecting the virtual barrier, to determine an updated virtual barrier based on the received second user input, upon determining the virtual barrier, to verify that the virtual barrier satisfies one or more vehicle parameters; and to provide output based on the virtual barrier.

Vehicle path adjustment

A system for detecting a road surface includes a computer programmed to determine a virtual boundary for a vehicle body based on a shape of the vehicle body, upon identifying an object, to identify a plurality of points on the object based on received sensor data, to determine a barrier function based on each of the identified plurality of points, wherein the barrier function includes a barrier distance from a reference point of the virtual boundary of the vehicle to a respective one of the points on the object, based on (i) the determined barrier functions, (ii) the determined virtual boundary of the vehicle, and (iii) an input to at least one of propulsion, steering, or braking, to determine at least one of a braking override or a steering override, and based on the determination, to adjust at least one of a vehicle steering or a vehicle speed.

Vehicle path adjustment with control barrier function

A computer includes a processor and a memory, the memory storing instructions executable by the processor to receive sensor data indicating an obstacle, formulate a control barrier function for a vehicle based on the sensor data, determine a control input based on the control barrier function, and actuate a component of the vehicle according to the control input. The control barrier function is defined with respect to a reference point that is spaced from a centroid of the vehicle.

Zone-based unmanned aerial vehicle landing systems and methods are provided herein. An example method includes establishing a plurality of operational zones, each of the plurality of operational zones being associated with a range of altitudes, guiding an unmanned aerial vehicle (UAV) through each of a plurality of operational zones to land the UAV on a target location using sensors, wherein the sensors are configured to sense a distance between the UAV to the target location, further wherein portions of the sensors are configured for use at different altitudes, and determining an error for the UAV during landing, wherein the UAV retreats to a higher altitude operational zone when the error is determined.

Zone-based unmanned aerial vehicle landing systems and methods

Methods and systems are provided for estimating engine oil temperature during conditions when sensors used for engine oil temperature measurement are not functional or not reliable. A null duty cycle of a solenoid spool valve of a variable cam timing mechanism is estimated. Then, a calibrated relationship between the duty cycle, an angular velocity of the associated cam, and the engine oil temperature is used to estimate an engine oil temperature when existing sensors used in the calculation of engine oil temperature calculation become unreliable.

System and method for engine oil temperature estimation

Methods and systems are provided for controlling a variable camshaft timing system. In one example, a method may include actuating a camshaft phaser with a camshaft duty cycle determined based on a sampled camshaft position and an estimated camshaft position, the estimated camshaft position determined based on a previously determined camshaft duty cycle.

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Ann Arbor, MI, United States of America

Erol Dogan Sumer