Patents by Inventor Maarten Sierhuis

Maarten Sierhuis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190278298
    Abstract: Methods and systems for providing remote support and negotiating problem situations of autonomous operation of vehicles based on signal states and vehicle information are described. The disclosed technology receives state data for the vehicles by an apparatus such as a remote vehicle support apparatus. The state data indicates a respective current state for the vehicles. The vehicles are each assigned to respective remote vehicle support queues based on the respective state data. An indication that one of the vehicles is requesting remote support is received by the remote vehicle support apparatus. In response to a determination that a change in the state data indicates that autonomous operation of the one of the vehicles is operating outside of defined parameter values, the remote support is provided to the one of the vehicles through a communications link by transmitting instruction data to modify the autonomous operation of the one of the vehicles.
    Type: Application
    Filed: November 30, 2017
    Publication date: September 12, 2019
    Inventors: Liam Pedersen, Maarten Sierhuis, Hans Utz, Mauro Della Penna, Terrence Fong, Mark Allan, Maria Bualat, Eric Schafer
  • Patent number: 10115305
    Abstract: Methods, apparatuses, and non-transitory computer readable storage media for optimizing driving time based on traffic signal states are described. The disclosed technology includes a vehicle that is able to determine, based on route data, a plurality of distances that correspond to paths between a vehicle location and a destination location for the vehicle. The route data can include a map of a predetermined area that includes the vehicle location and the destination location. The vehicle can receive traffic signal data that includes traffic signal states for a corresponding traffic signals on the paths. The vehicle can determine travel times corresponding to a predetermined portion of the paths based on the distances and the traffic signal states. The vehicle can determine an optimized path between the vehicle location and the destination location based on the path that is determined to have the shortest travel time.
    Type: Grant
    Filed: September 30, 2016
    Date of Patent: October 30, 2018
    Assignee: Nissan North America, Inc.
    Inventors: Ali Mortazavi, Maarten Sierhuis, Mauro Della Penna
  • Publication number: 20180096597
    Abstract: Methods, apparatuses, and non-transitory computer readable storage media for optimizing driving time based on traffic signal states are described. The disclosed technology includes a vehicle that is able to determine, based on route data, a plurality of distances that correspond to paths between a vehicle location and a destination location for the vehicle. The route data can include a map of a predetermined area that includes the vehicle location and the destination location. The vehicle can receive traffic signal data that includes traffic signal states for a corresponding traffic signals on the paths. The vehicle can determine travel times corresponding to a predetermined portion of the paths based on the distances and the traffic signal states. The vehicle can determine an optimized path between the vehicle location and the destination location based on the path that is determined to have the shortest travel time.
    Type: Application
    Filed: September 30, 2016
    Publication date: April 5, 2018
    Inventors: Ali Mortazavi, Maarten Sierhuis, Mauro Della Penna
  • Publication number: 20160180222
    Abstract: The invention is directed to an intelligent personal agent platform that uses sensor data and other inputs to monitor and detect daily activities, to monitor adherence to goals or plans, and to provide in-context personalized advice, coaching, and support to a user. The platform integrates wearable and environmental sensors that gather real-time behavior data with one or more software-based intelligent personal agents that run on cloud-based or local servers to monitor and analyze the data and provide a response, such as a request to take a certain action. Users can interact with their personal agents wherever they are via a variety of interfaces depending on the communication devices and communication networks that are available to them (e.g. mobile devices, Smart TVs, wearable displays, heads-up displays in a car, touch interfaces, and spoken natural language).
    Type: Application
    Filed: December 21, 2015
    Publication date: June 23, 2016
    Applicant: Ejenta, Inc.
    Inventors: Maarten Sierhuis, Rachna Dhamija, Kyle Benjamin MacNamara, Catherine Ann Jenkins, Ruben Gaele Jan van der Dussen, Chin Hua Seah, Sugreev Chawla
  • Patent number: 6718329
    Abstract: The present invention is a method and apparatus for generating nodes and link definitions for a hypertext database from at least one source document which includes text and formatted properties that define a logical structure of the source document. Initially, the source document is segmented according to selected formatted properties. A node is then generated for each segment of the source document. Thereafter, link definitions are created to establish associations between the nodes so as to maintain the logical structure of the source document defined by the format properties. The nodes and link definitions can be imported to a hypertext database and searched with a hypertext engine.
    Type: Grant
    Filed: July 16, 1998
    Date of Patent: April 6, 2004
    Assignee: Verizon New York Inc.
    Inventors: Albert Michael Selvin, Maarten Sierhuis
  • Patent number: 6216098
    Abstract: Methods and apparatus for modeling behavior. A computer model includes an agent having one or more beliefs, a world model, and facts. Behavior is modeled by frames including workframes modeling a time-consuming portions of an activity or thoughtframes modeling non-time-consuming portions of an activity or information processing. Detectables model acquisition of, and response to, information during a defined portion of an activity. A detectable tests facts to form beliefs of the agent, which can affect continued performance of the activity. The model is run by selecting for each time one of the frames to be the working frame; maintaining a context of active frames representing activities that are underway at any time; performing the working frame until it completes or another frame is selected to be performed in its place.
    Type: Grant
    Filed: November 5, 1998
    Date of Patent: April 10, 2001
    Assignees: Institute for Research on Learning, Bell Atlantic Network Services, Inc.
    Inventors: William J. Clancey, David M. Torok, Maarten Sierhuis, Ron J. J. van Hoof, Patricia Sachs