Deka Products Limited Partnership

Benjamin V Hersh

Daniel F Pawlowski

Gregory J Buitkus

Aaditya Ravindran

Emily A Carrigg

Kartik Khanna

Patrick Steele

David Carrigg

Yashovardhan Chaturvedi

Fnu G Siva Perumal

Arunabh Mishra

Praneeta Mallela

Boris Bidault

Christopher Charles Langenfeld

Dirk Albertus Van Der Merwe

Derek Geoffrey Kane

Michael J Slate

Raajitha Gummadi

Christopher Joseph Principe

Justin M Whitney

Systems and methods for navigating intersections autonomously or semi-autonomously can include, but are not limited to including, accessing data related to the geography and traffic management features of the intersection, executing autonomous actions to navigate the intersection, and coordinating with one or more processors and/or operators executing remote actions, if necessary. Traffic management features can be identified by using various types of images such as oblique images.

System and method for intersection management by an autonomous vehicle

Substantially discontinuous surface feature traversal feature of the present teachings can leverage a transport device (TD), for example, but not limited to, an autonomous device or a semi-autonomous device, to navigate in environments that can include features such as substantially discontinuous surface features. The substantially discontinuous surface feature traversal feature can enable the TD to travel on an expanded variety of surfaces. In particular, substantially discontinuous surface features can be accurately identified and labeled so that the TD can automatically maintain the performance of the TD during ingress and egress of the substantially discontinuous surface feature.

System and method for surface feature detection and traversal

An autonomous vehicle having sensors advantageously varied in capabilities, advantageously positioned, and advantageously impervious to environmental conditions. A system executing on the autonomous vehicle that can receive a map including, for example, substantially discontinuous surface features along with data from the sensors, create an occupancy grid based upon the map and the data, and change the configuration of the autonomous vehicle based upon the type of surface on which the autonomous vehicle navigates. The device can safely navigate surfaces and surface features, including traversing discontinuous surfaces and other obstacles.

System and method for real time control of an autonomous device

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Raymond, NH, United States of America

Benjamin V Hersh