Zoox, Inc.

Yassen Ivanchev Dobrev

Chuang Wang

Shiwei Sheng

Subhasis Das

Michael Carsten Bosse

Joshua Kriser Cohen

Cooper Stokes Sloan

Jifei Qian

Anton Mario Bongio Karrman

Navigation systems can identify objects in an environment and generate representations of those objects. A representation of an articulated vehicle can include two segments rotated relative to each other about a pivot, with a first segment corresponding to a first portion of the articulated vehicle and the second segment corresponding to a second portion of the articulated vehicle. The articulated object can be tracked in the environment by generating estimated updated states of the articulated agent based on previous states and/or measured states of the object using differing motion model updates for the differing portions. The estimated updated states may be determined using one or more filtering algorithms, which may be constrained using pseudo-observables.

Tracking articulated objects

Techniques for updating data operations in a perception system are discussed herein. A vehicle may use a perception system to capture data about an environment proximate to the vehicle. The perception system may receive state data stored in cyclic buffer of globally registered detection and occasionally converted to gridded point cloud in a local reference frame. The two-dimensional gridded point cloud may be processed using one or more neural networks to generate semantic data associated with a scene or physical environment surrounding the vehicle such that the vehicle can make environment aware operational decisions, which may improve reaction time(s) and/or safety outcomes of the autonomous vehicle.

Perception system

Navigation systems can identify objects in an environment and generate representations of those objects. A representation of an articulated vehicle can include two segments rotated relative to each other about a pivot, with a first segment corresponding to a first portion of the articulated vehicle and the second segment corresponding to a second portion of the articulated vehicle. The representation can be based on a model fit to points that are derived from sensor data and are associated with the object. In some examples, the model can be fit to the points using an expectation maximization algorithm and can be parameterized using attributes of the first and second segments.

Modeling articulated objects

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Foster City, CA, United States of America

Yassen Ivanchev Dobrev