Ford Global Technolgoies, LLC

Ford Motor Company Limited

Jamel Seagraves

Sudipto Aich

Chih-Wei Tang

Casey Bryan Feldman

Yonathan Redda

David Melcher

Zachary David Nelson

Christopher Peplin

Beaudry Kock

David Gomez

Darioush Aghai-yazdi

Justin Carrus

Shane Elwart

An intelligent bicycle sharing system, or other vehicle sharing system, is able to provide helpful bicycle availability predictions based on historical data, including various utilization statistics. Historical data can be collected over time as users use the bicycle sharing system. For example, the historical data may include the number of available bicycles at various locations and times, as well as contextual data associated with the locations and times. Contextual data may include data regarding the weather, local events, season, day of the week or year, news events, among other environmental factors that may or may not influence bicycle utilization. In some embodiments, a model, such as a machine learning model (e.g., neural network) may be trained using the historical data as training data such that the model can predict bicycle availability for a certain future time and location.

Optimizing and predicting availability of resources in a shared vehicle environment

Various approaches allow for shared transportation reservations and related actions to be made based on a user's proximity to a shared transportation station. Data is received concerning the user's computing device, such as a vehicle, a mobile device, an internet-connected device, or a cellular network-connected device. Approaches can use a variety of data formats, including image data, location coordinates, or wirelessly-transmitted data. Based on such data and a criterion such as a threshold proximity to the station, the user's account status is determined and access to same authorized. Via the account, numerous actions may be taken, including automatically triggering a transport mode reservation or return, prompting the user to reserve or return the shared transportation, or debiting the user per a fee associated with the transportation reservation. Further, neural network techniques may be applied to train a model for generating related recommendations.

Proximity-based shared transportation reservations

An intelligent bicycle sharing system, or other vehicle sharing system, is able to provide helpful bicycle availability indications based on historical data and user proximity. Historical data can be collected over time as users use the bicycle sharing system. For example, the historical data may include how many bicycles are checked at out a given time and how many remain at a given location. In some embodiments, an indication may be provided to the user as the user approaches the vehicle sharing system. The indication may provide information regarding the availability of bicycles.

Providing indicators of availability in a shared vehicle environment

A dolly includes an actuated platform and obstruction sensor as well as a camera and a depth sensor. The eye height of a user is determined according to outputs of the camera and depth sensor. The platform is then moved to an elbow height determined based on the eye height and the depth sensor is moved to a position above the platform. In response to detecting obstruction of the obstruction sensor, the platform is lowered. Upon completion of loading, the platform is lowered to a lowest position. A stand may be retracted upon lowering of the platform to its lowest position.

Dolly with automated height adjustment

A bicycle includes a frame, a charging circuit carried by the frame and configured to capture energy associated with movement of the bicycle, a power module carried by the frame, and a switch disposed electrically between the charging circuit and power module. The power module, in response to an indication that the bicycle is travelling downhill, closes the switch to enable energy transfer between the charging circuit and power module.

Wheel rim-mounted regeneration coil-magnet system

A vehicle parking assist system includes at least one processor configured to establish communication with a parking automation system external to a vehicle to assist in a parking maneuver. The parking automation system includes at least one sensor to provide a measured distance value from an object to the vehicle. The processor is further configured to control a brake system of the vehicle based on the measured distance value via the sensor. The processor is further configured to control the vehicle to come to a stop based on the measured distance value being less than a first predefined threshold via the brake system.

Systems and methods for vehicle park assist

A method or system for controlling a vehicle having auto stop and auto start functions includes selectively inhibiting or disabling the auto stop or auto start functions in response to a detected vehicle position relative to an automatically learned vehicle route. The vehicle route is learned in response to previous drive cycles.

Stop/start control based on repeated driving patterns

A system may receive historical climate control selections by a user and environmental conditions across a plurality of climate-controlled contexts; identify a correlation of temperature settings in a first of the climate-controlled contexts to temperature settings in a second of the climate-controlled contexts for an environmental condition; and update a user profile of the user according to the correlation. The system may also identify an upcoming user transition from a first climate-controlled context to a second climate-controlled context; and precondition the second context in accordance with the correlation.

Smart connected climate control

A drive unit for a vehicle includes a drive unit spindle. The drive unit spindle extends along an axis for connecting the drive unit to the vehicle. The drive unit further includes one or more wheel assemblies. Each of the wheel assemblies has a hub that is removably supported by the spindle along the axis. At least one of the wheel assemblies includes a wheel which rotates about the hub and a motor connected to the wheel to rotate the wheel about the hub.

Electrical bicycle modular powertrain

A vehicle system includes a charging interface that is configured to connect to a bicycle battery and a processing device programmed to determine a state of charge of the bicycle battery. The processing device further estimates traveling ranges of a vehicle and a bicycle. The vehicle system further includes a navigation module programmed to generate a route to a selected destination based on the estimated traveling ranges of the vehicle and the bicycle.

Vehicle and electric bicycle charge monitoring interface

A vehicle computing system includes at least one processor configured to communicate with a remote smoke detector device includes a smart device interface configured to provide access to the remote smoke detector device, a scripting application configured to utilize the smart device interface to execute scripting settings to manage the remote smoke detector, and a user interface of the scripting application configured to output one or more messages from the remote smoke detector.

Smart device vehicle integration

Example rotating camera systems and methods are described. In one implementation, an apparatus includes a motor having a camera mounting mechanism and configured to rotate a camera attached to the mounting mechanism. A communication module receives vehicle data from a vehicle. A rotation control module determines a current rotational orientation of the motor and determines a speed and direction to rotate the motor based on the received vehicle data.

Rotating camera systems and methods

An example mobile device case is described. In one implementation, the mobile device case includes a housing that surrounds at least a portion of a mobile device. A capacitive touch button is disposed on the housing and associated with a vehicle function. A user activation sensor initiates monitoring of the capacitive touch button in response to a user contact. A vehicle control module senses activation of the capacitive touch button and, in response to sensing the activation, initiates the associated vehicle function.

Mobile device case

Methods, devices and apparatuses pertaining to stability control of a bicycle. A method may involve a control system associated with a bicycle monitoring one or more parameters related to a movement of the bicycle. The method may also involve the control system detecting an impending occurrence of an event based on the monitoring. The method may further involve the control system adjusting one or more operations related to the movement of the bicycle, including braking of the bicycle, to prevent the occurrence of the event.

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Mountain View, CA, United States of America

Jamel Seagraves