University of Michigan

Az Brd Regents on Behalf of Az State University

Kwesi Rutledge

Sze Zheng Yong

Necmiye Ozay

Dimitra Panagou

Yunus Emre Sahin

Zexiang Liu

A method of the disclosure implements a prefix-based estimator system. The method includes: receiving a plurality of vehicle states at a plurality of time points from at least one sensor coupled to a vehicle, wherein each of the plurality of vehicle states includes at least one parameter information and a discrete state; determining a most recent vehicle state of the plurality of vehicle states has at least one parameter information missing; identifying a prefix comprising a missing data pattern that matches a sequence of discrete states of a subset of time-ordered vehicle states including the most recent vehicle state, wherein the subset of time-ordered vehicle states correspond to the prefix; calculating an estimated updated vehicle state of the vehicle using an optimized prefix-based dynamic estimator based on the prefix and the subset of time ordered vehicle states; and providing the estimated updated vehicle state to a driving control system of the vehicle.

Prefix-based bounded-error estimation with intermittent observations

In one aspect, the present disclosure provides a method in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to implement a vehicle overtaking monitoring system. The method comprises receiving, from a first plurality of sensors coupled to an ego vehicle, lead vehicle data about a lead vehicle, inferring an estimated intention of the lead vehicle based on the lead vehicle data, selecting an intention model from a plurality of intention models based on the estimated intention, calculating a set of permissible driving inputs of the ego vehicle based on the intention model, calculating at least one driver input range based on the set of permissible driving inputs, and causing the at least one driver input range to be displayed to a driver of the ego vehicle.

Intention-aware supervisory control with driving safety applications

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Ann Arbor, MI, United States of America

Kwesi Rutledge