Ford Global Technolgoies, LLC

Anuja Anil Shirsat

Shounak Athavale

Romil Shah

Vidhya Iyer

Sonal Doomra

Sakthi Narayanan Balasubramanian

Naman Kohli

Eric H Wingfield

Matthew Atwood Whitaker

Owen Carpenter

Henry Salvatore Savage

Kiril Spasovski

Matthew Castaldini

Subhransu Mishra

Andreas Arvanitis

Patrick Ellis

Hansel Mauricio Monroy

Matthew McKenzie

Flavia Rodrigues

Christopher Weir

Lionel Ronald Sequeira

The disclosure provides systems and methods for tracking luggage. Luggage is tracked by associating the luggage with a user account during a loading action and during an unloading action. The system further includes systems and methods for retrieving lost luggage.

Systems and methods for tracking luggage in a vehicle

Example embodiments described in this disclosure are generally directed to systems and methods for preventing vehicular mishaps. In an example method, an object detector mounted on a building or a roadside fixture, detects an object in a detection coverage area of the object detector. The object is undetectable by a collision avoidance system of a vehicle. The object detector conveys information about the object to a supervisory computer. The information can include, for example, a location and/or a direction of travel of the object (if the object is moving). The supervisory computer evaluates the information and transmits an alert to the collision avoidance system of the vehicle, so as to prevent a collision between the vehicle and the object. In an example situation, where the object is a pedestrian, the supervisory computer may also transmit a warning alert to a personal communication device of the pedestrian.

Systems and methods to prevent vehicular mishaps

Example vehicle security systems and methods are described. In one implementation, a method receives a destination and a driving route to the destination for an autonomous vehicle to follow. A vehicle security system identifies a passkey associated with the driving route and communicates the passkey to a user designated to meet the autonomous vehicle at the destination. The vehicle security system confirms that the user designated to meet the autonomous vehicle possesses the passkey.

Vehicle security systems and methods

A first image is obtained prior to a second image. Upon dividing the second image into a plurality of zones, light characteristic values for each of the plurality of zones are determined based on at least one of a brightness value, a contrast value, and an intensity value for the respective zones. A first difference score for one of the zones is determined based on a difference between corresponding light characteristic values for the one zone in the first and second images. Upon identifying an object in the one zone of the first and second images, a second difference score for the one zone is determined based on determining a difference between respective confidence scores associated with the corresponding identified objects. Upon determining at least one of the first or second difference score is greater than a respective threshold, the vehicle is operated based on the first image.

Enhanced vehicle operation

The present disclosure relates to optimized recharging of autonomous vehicle. A device may request permission to recharge a vehicle during a trip. The device may receive, for a geographical zone, a first location associated with a first recharging station and a second location associated with a second recharging station. The device may generate a first driving route from a pick-up location with a stop at the first recharging station, and a second driving route from the pick-up location with a stop at the second recharging station. The device may assign a first value to the first driving route and a second value to the second driving route by way of an objective cost function. The device may generate driving directions corresponding to the first driving route.

Optimized recharging of autonomous vehicles

Upon determining a first vehicle is moving on a two-way road in a first direction of travel in an only lane of the two-way road, vehicle sensor data is input to a first neural network that identifies a yield area along the two-way road via image segmentation. A second vehicle is detected traveling toward the first vehicle on the only lane of the two-way road. Then, upon determining the first vehicle is to yield to the second vehicle, one or more vehicle components are actuated to move the first vehicle to the yield area.

Vehicle yield decision

A method comprising: associating, by a computing device, at least one first item to a first passenger based on the at least one first item being received in an area of a vehicle; associating, by the computing device, at last one second item to a second passenger based on the at least one second item being received in the area of the vehicle; monitoring, by at least two image capture devices, the area of the vehicle; and determining, by the computing device and based on the first passenger taking the at least one second item from the area, an alert.

Systems and methods of preventing removal of items from vehicles by improper parties

A computer includes a processor and a memory, the memory storing instructions executable by the processor to determine a first bounding box for a road sign in an image, identify a second bounding box for a physical member, the second bounding box for the physical member extending from the first bounding box for the road sign, and upon identifying the second bounding box for the physical member, actuate one or more vehicle components.

Vehicle operation

A vehicle includes a controller, programmed to responsive to wirelessly connecting to a mobile device using a mobile credential issued from a server within a time frame specified in the mobile credential, issue an access token to the mobile device, and responsive to receiving a command authorized by the access token from the mobile device, route the command to a vehicle subsystem for execution.

Growing community of inventors

Mountain View, CA, United States of America

Anuja Anil Shirsat