Waymo LLC

Rose Blush Software LLC

Aurigin Systems, Inc.

Smart Patents LLC

David W Smith

Irving S Rappaport

Kevin G Rivette

Adam Jackson

Luke Hohmann

Brian Park

David Puglia

Charles Rabb, Jr

David Goretsky

Warren Neal Thornthwaite

Jorge A Navarrete

Matthew Schnitz

Jorge A Navarette

Kevin Yoon

Brent Rosenquist

Christopher Bowen

Andrew S DeWolfe

Robert J Muller

Harvey Alcabes

Scott Kurowski

Donald Brannon

Noura Bashshur

Warren Thornthwaite

Thierry Paradan

A method includes identifying, based on grade data of a route of an autonomous vehicle (AV), a segment of the route that has a grade value that meets a threshold grade value. Responsive to identifying the segment, the method further includes generating, based on the grade data and physical vehicle data of the AV, driving constraint data for the segment of the route. The method further includes causing a routing module of the AV to generate, based on the driving constraint data for the segment of the route, short time horizon routing data corresponding to a portion of the segment. The AV is to travel the portion of the segment of the route based on the short time horizon routing data.

Physics-informed optimization for autonomous driving systems

The technology relates to articulated autonomous vehicles that can potentially jackknife. To avoid or mitigate such hazardous conditions, the current state of the vehicle is evaluated against the vehicle's planned trajectory, for instance as it drives along a freeway or surface streets. When the evaluation indicates a likelihood of jackknifing, an automated braking approach is implemented using elective braking to stabilize the vehicle. The braking approach can depend on whether the situation involves tractor jackknifing or trailer jackknifing, and one or more different braking mechanisms can be employed for a selective modulation of the braking profile to address actual jackknifing or to prevent the vehicle from entering a jackknifing situation.

Systems and methods to address jackknifing in autonomous vehicles

Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling routing of an autonomous vehicles (AV) by identifying routes from a first location to a second location, identifying a target efficiency value of autonomous driving along a respective route, determining, in view of historical data for the respective route and using one or more randomized conditions, a confidence level associated with the target efficiency value, selecting, based on the target efficiency values and the associated confidence level, a preferred route, and causing the AV to select the first route for travel from the first location to the second location.

Route optimization for autonomous driving systems

Context data processing is described herein. One or more contexts are selected. Each context includes one or more attributes, and a plurality of data objects that satisfy the attributes. A list of data objects contained in the selected contexts is displayed. At least some of the data objects in the selected contexts are processed. Such processing may involve generating claim trees, citation trees, and data object families, which may be displayed using hyperbolic trees. In an embodiment, the contexts are groups. In other embodiment, the contexts are each associated with a data object type. In this latter embodiment, the contexts include data objects of their respective data object types.

Intellectual property asset manager (IPAM) for context processing of data objects

A system, method, and computer program product for processing data are described herein. The system maintains first databases of patents, and second databases of non-patent information of interest to a corporate entity. The system also maintains one or more groups. Each of the groups comprises any number of the patents from the first databases. The system, upon receiving appropriate operator commands, automatically processes the patents in one of the groups in conjunction with non-patent information from the second databases. Accordingly, the system performs patent-centric and group-oriented processing of data. A group can also include any number of non-patent documents. The groups may be product based, person based, corporate entity based, or user-defined. Other types of groups are also covered, such as temporary groups. The processing automatically performed by the system relates to (but is not limited to) patent mapping, document mapping, patent citation (both forward and backward), patent aging, patent bracketing/clustering (both forward and backward), inventor patent count, inventor employment information, patent claim tree analysis, and finance. Other functions and capabilities are also covered, including the ability to utilize hyperbolic trees to visualize data generated by the system, method, and computer program product, and to track, analyze, and report on information related to intellectual property (IP) transactions, including license and related agreements.

System, method, and computer program product for managing and analyzing intellectual property (IP) related transactions

A method of displaying data, comprising the steps of defining a set of documents, each document having a unique identification and optionally citing other documents by their respective unique identification, the set being defined by selecting at least one starting document, with the set further comprising documents being included based on predetermined relationships with at least one other document in the set; generating a hierarchal tree representation of the at least one subset of documents, a subset inclusion and hierarchy thereof being defined by said predetermined relationships between documents within the set; and selectively focusing on a node of said hierarchal tree, to define a graphic display representation of at least a portion thereof to emphasize the selected focus while depicting the hierarchal relationships.

Using hyperbolic trees to visualize data generated by patent-centric and group-oriented data processing

A system, method, and computer program product for processing data are described herein. The system maintains first databases of patents, and second databases of non-patent information of interest to a corporate entity. The system also maintains one or more groups. Each of the groups comprises any number of the patents from the first databases. The system, upon receiving appropriate operator commands, automatically processes the patents in one of the groups in conjunction with non-patent information from the second databases. Accordingly, the system performs patent-centric and group-oriented processing of data. A group can also include any number of non-patent documents. The groups may be product based, person based, corporate entity based, or user-defined. Other types of groups are also covered, such as temporary groups. The processing automatically performed by the system relates to (but is not limited to) patent mapping, document mapping, patent citation (both forward and backward), patent aging, patent bracketing/clustering (both forward and backward), inventor patent count, inventor employment information, patent claim tree analysis, and finance. Other functions and capabilities are also covered, including the ability to utilize hyperbolic trees to visualize data generated by the system, method, and computer program product.

A system, method, and computer program product for processing data are described herein. The system maintains first databases of patents, and second databases of non-patent information of interest to a corporate entity. The system also maintains one or more groups. Each of the groups comprises any number of the patents from the first databases. The system, upon receiving appropriate operator commands, automatically processes the patents in one of the groups in conjunction with non-patent information from the second databases. Accordingly, the system performs patent-centric and group-oriented processing of data. A group can also include any number of non-patent documents. The groups may be product based, person based, corporate entity based, or user-defined. Other types of groups are also covered, such as temporary groups. The processing automatically performed by the system relates to (but is not limited to) patent mapping, document mapping, patent citation (both forward and backward), patent aging, patent bracketing/clustering (both forward and backward), inventor patent count, inventor employment information, and finance. Other functions are also covered.

System, method, and computer program product for patent-centric and

Growing community of inventors

Mountain View, CA, United States of America

David W Smith