Ford Global Technolgoies, LLC

James Fishelson

Eric H Wingfield

Yifan Chen

Pramita Mitra

Abhishek Sharma

Archak Mittal

Richard Twumasi-Boakye

Xiaolin Cai

Andrea Broaddus

Amanuel Zeryihun

Amit Bhagwan

Dhanush Harihar

Mohammed Fayaj Navaz

Shan Chy Chueh

Jon Coleman

The disclosure generally pertains to systems and methods to classify a road based on a level of support offered by the road for autonomous driving operations. An example method may involve a computer receiving sensor data from a vehicle, the sensor data containing information about a current functional condition of a road. The computer may predict a future functional condition of the road by using a deterioration model to evaluate the sensor data. The computer may then determine a level of support offered by the road for autonomous driving operations based on the future functional condition of the road, and assign a classification to the road based on the level of support offered by the road for autonomous driving operations. The level of support offered by the road for autonomous driving operations may also be based on items such as road markings, traffic signs, traffic signals, and/or infrastructure elements.

Systems and methods to classify a road based on a level of suppport offered by the road for autonomous driving operations

Robot-assisted package delivery with integrated curbside parking monitoring and curb operations optimization is disclosed herein. An example method includes dispatching a delivery vehicle and delivery robot to a delivery location, the delivery location including a parking location for the delivery vehicle that allows for deployment of the delivery robot on a delivery mission, determining occupancy of the parking location, the delivery vehicle parking at the parking location when the parking location is unoccupied, the delivery robot being deployed upon parking of the delivery vehicle, and instructing the delivery vehicle to remain parked during the delivery mission or to leave the parking location and return at later point in time based on an estimated time of arrival of the delivery robot after the delivery mission.

Robot-assisted package delivery with integrated curbside parking monitoring and curb operations optimization

A usage rule specifies a number of tokens to access a vehicle. Authorization of a request to access the vehicle is based on receiving the number of tokens specified by the usage rule. The request is stored to an electronic ledger. Actuation of the vehicle is based on the request being authorized. An allocation rule specifies the number of tokens allocated to each of an entity and the vehicle based on the request. Allocation of tokens to the entity and the vehicle is based on the allocation rule.

Distributed vehicle access

Hybrid light personal electric vehicle analysis is disclosed herein. An example method includes determining empirical data from a light personal electric vehicle (LPEV) over a period of time, determining LPEV behaviors from the empirical data during the period of time, and building a hybrid simulation model over the period of time by switching between a pedestrian simulation model when the LPEV behaviors correspond to pedestrian behaviors and a vehicle simulation model when the LPEV behaviors correspond to vehicle behaviors.

Hybrid light personal electric vehicle analysis

A blockchain block generated by one or more blockchain nodes when the one or more blockchain nodes are only connected to a local area network is received, and the blockchain block is synchronized with a blockchain. After determining that a backhaul network device is not connected to the one or more blockchain nodes and then determining that the backhaul network device is connected to the one or more blockchain nodes, the blockchain is transmitted to the one or more blockchain nodes via the backhaul network device upon determining that the backhaul network device is connected to the one or more blockchain nodes.

TAAS for delay tolerant blockchain networks

A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to transmit an authentication request to a vehicle computer, receive, from the vehicle computer, a response including data proving that the vehicle computer includes confidential information, wherein the data does not convey the confidential information, determine whether the response is valid based on the authentication request, and transmit a warning to the vehicle computer when the response is not valid.

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Ypsilanti, MI, United States of America

James Fishelson