Ford Global Technolgoies, LLC

Zachary Konchan

William Falconer

Leonard Eber Carrier

Erick Michael Lavoie

Hans Gangwar

Dale Scott Crombez

Yuri Anatoly Karpenko

Moses Alexander Fridman

Peter Kowalow

Jinkoo Lee

Alexander McCollough

George Taylor Dickinson

Todd Anthony Brittingham

James Hartman Teasley

Ravi Lanka

Method and apparatus are disclosed for traction control based on friction coefficient estimation. An example vehicle includes a plurality of sensors to measure qualities of a surface of a road and an anti-lock brake system module. The anti-lock brake system module (a) estimates confidence values for different road surface types based on the qualities of the surface of the road, (b) estimates a coefficient of friction between the road and tires of the vehicle based on the confidence values, and (c) adapt a traction control system by altering a target slip based on the coefficient of friction.

Traction control based on friction coefficient estimation

A vehicle includes a controller programmed to, responsive to detecting a barcode displayed outside the vehicle via an exterior sensor, decode the barcode, and project an image representing an information decoded from the barcode on a windshield of the vehicle, the image overlaying the barcode from a perspective of a user.

Vehicle advertisement

A map, including potential obstacles, can be generated by a computing device in a vehicle. An estimated coefficient of friction between the vehicle wheels and a roadway surrounding a stuck vehicle can be generated based on sensor data. A path can be determined based on the map, and the stuck vehicle can be operated based on the path and a determined slip ratio based on the vehicle wheels to unstick the stuck vehicle.

Vehicle escape

An autonomous vehicle controller includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include detecting that a host vehicle is on a low friction surface, generating a composite map representing locations of a plurality of high friction surfaces, selecting one of the plurality of high friction surfaces, and autonomously navigating the host vehicle to the selected high friction surface by executing a slip control process.

Autonomous vehicle trajectory planning

A system for vehicle pitch control during braking includes a pitch component and a rebound component. The pitch component is configured to determine that a vehicle has a forward pitch during braking. The rebound component is configured to, in response to the vehicle achieving a substantially zero forward velocity, apply brake pressure to one or more non-driven wheels using one or more brakes and apply reverse torque to one or more driven wheels using a motor or engine.

Vehicle pitch control during a stop

Methods and apparatus to control braking of a vehicle during low deceleration operations are disclosed. A disclosed apparatus includes a controller configured to determine a deceleration of a vehicle, compare the deceleration to a threshold, and modulate, at a predetermined frequency, a brake pressure of the vehicle in response to the deceleration being below the threshold.

Methods and apparatus to control braking of a vehicle during low deceleration operations

An autonomous pulse and glide system and method are disclosed. Pulse and glide is a fuel savings strategy that pulses a host vehicle to a maximum target speed and glides to a minimum target speed. Where the host vehicle detects that a lead vehicle is within a minimum distance the pulse and glide strategy is modified. The system may interrupt a pulse or may instruct the host vehicle to pass the lead vehicle. The host vehicle may also include an inter-vehicle communication module which facilitates a master/slave interaction with a lead or trailing vehicle.

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Westland, MI, United States of America

Zachary Konchan