Ford Global Technolgoies, LLC

Joseph Gifford

Jeremy Lerner

Taylor Hawley

Jason Joseph Woo

Nicholas Frazier

Alexander Groh

Jae Hyung Lim

Clifton Thomas

Vehicle manufacturers may leverage one vehicle of a household to gain intelligence to determine whether a new vehicle may be purchased or an existing vehicle may be replaced for the household. Techniques include identifying a home geofence space that identifies the household at the household address for the vehicle. The sensor data from the vehicle can be used to identify other vehicles within the home geofence space. When other vehicles are identified that match appropriate criteria, the other vehicles may be associated with the household. Further observation of the other vehicles and the behavior of the members of the household can be used to identify when an existing vehicle of the household may be replaced and/or a new vehicle may be purchased. Upon determining that a new or replacement vehicle may be purchased, marketing materials may be provided to the household to aid the household with purchasing the new vehicle.

Techniques for intelligence using connected vehicle data

The disclosure is generally directed to systems and methods for prioritizing driver warnings in a vehicle. In one example, a first sensor in the vehicle may detect a first driving event, such as, for example, another vehicle that is traveling in a blind spot of the driver. A second sensor in the vehicle may detect a second driving event, such as, for example, that the driver of the vehicle is tailgating another vehicle. A driver warning system in the vehicle produces a driver warning based on prioritizing one of the two driving events. For example, the driver warning system may prioritize a warning pertaining to the tailgating action over a warning pertaining to the vehicle moving in the blind spot. In some cases, the prioritization may be carried out by using historical information about the two driving events.

Systems and methods for prioritizing driver warnings in a vehicle

A vehicle can be operated in an identified map area. Output is obtained from a first classifier, based on input including the map area and one or more current environmental conditions detected in the map area, specifying a first probability that the map area is currently available for sensing to support input-free operation of the vehicle. Then, if and only if the first probability indicates that the map area is currently available for sensing to support input-free operation of the vehicle, output is obtained from a second classifier, based on input including the map area and the one or more current environmental conditions, specifying a second probability that the vehicle will traverse the map area without a minimum risk maneuver event. Then, if and only if the second probability indicates that the vehicle will traverse the map area without a minimum risk maneuver event, operating the vehicle in an input-free mode in the map area.

Location-based vehicle operation

Blind spot detection and alert systems, devices, and methods are provided herein. An example device includes an optical surface having a plurality of indicator elements; and a controller having a processor and a memory for storing instructions, the processor executing the instructions to control a visual attribute of at least a portion of the plurality of indicator elements displayed on the optical surface to indicate a second vehicle being in a blind-spot of a first vehicle for a period of time.

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Ferndale, MI, United States of America

Joseph Gifford