Ford Global Technolgoies, LLC

Jeremy Ferack

Daniel A Makled

Michael Mcquillen

Ali Ahmad Ayoub

Gopichandra Surnilla

Brian Wolski

Matthew Affeldt

Embodiments provide a vehicle that can establish a network of nearby vehicles in order to upload large amounts of data. An example vehicle includes a sensor, a communication system, and a processor. The processor is configured to establish a network comprising a plurality of nearby vehicles having respective data upload rates, separate data gathered by the sensor into segments based on the respective data upload rates, and transmit to the plurality of nearby vehicles using the communication system (i) the segments, and (ii) instructions for uploading the segments to a server.

Methods and systems for vehicle data upload

Method and apparatus are disclosed for lead vehicle monitoring for adaptive cruise control. An example vehicle includes a communication module for V2V communication, a camera, a sensor, and an adaptive cruise control unit. The adaptive cruise control unit is to determine an acceleration oscillation value of a lead vehicle based upon measurements collected via at least one of the camera and the sensor and send, via the communication module, an instruction to the lead vehicle to activate cruise control responsive to determining the acceleration oscillation value exceeds a threshold.

Lead vehicle monitoring for adaptive cruise control

Method and apparatus are disclosed for vehicle localization based on wireless local area network nodes. An example disclosed vehicle includes a wireless network controller and a location tracker. In response to losing reception of GPS signals, the location tracker scans for wireless network nodes via the wireless network controller, and when second locations of the wireless network nodes are stored in memory, determines a current location of the vehicle based on a particle filtering technique and received signal strength measurements from the wireless network nodes.

Vehicle localization based on wireless local area network nodes

Method and apparatus are disclosed for detection of lane conditions vehicles in adaptive cruise control systems. An example vehicle includes a communication module for V2V communication, a camera for capturing images, and a controller. The controller is to identify a vehicle type of a lead vehicle based upon the images and determine a lead vehicle speed. The controller also is to send, via the communication module, an alert to the lead vehicle responsive to determining the lead vehicle is a passenger vehicle and the lead vehicle speed is less than a speed setting for activated adaptive cruise control.

Detection of lane conditions in adaptive cruise control systems

Method and apparatus are disclosed for active park assist detection of semi-trailer overhang. An example vehicle includes a first range detection sensor, a second range detection sensor different from the first range detection sensor, and a parking assist unit. The parking assist unit detects, with the first and second range detection sensors, a second vehicle with an overhang adjacent to a parking space. Additionally, the parking assist unit broadcasts, with a DSRC module, a message including properties of the parking space accounting for the overhang.

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Livonia, MI, United States of America

Jeremy Ferack