Nvidia Corporation

Raul Correal Tezanos

Hon Leung Lee

David Nister

Nikolai Smolyanskiy

Julia C Ng

Alexey Kamenev

Yizhou Wang

Amir Akbarzadeh

Birgit Henke

Rotem Aviv

Joshua John Bialkowski

Miguel Sainz Serra

Ollin Boer Bohan

Zhenyi Zhang

Anton Vorontsov

Seungho Lee

Hermes Lanker

Embodiments of the present disclosure relate to a method of translating routes between maps. The method may include obtaining a graph based on data of an area. The graph may include one or more nodes representing different locations along one or more navigable paths as defined by the map. The method may also include obtaining one or more waypoints that define a route to traverse in the area and selecting, from the nodes, one or more path nodes based on locations of the path nodes corresponding to locations of the way points. The selected path nodes may define a path in the data that corresponds to the route.

Translating route information between data structures for autonomous systems and applications

Embodiments of the present disclosure relate to behavior planning for autonomous vehicles. The technology described herein selects a preferred trajectory for an autonomous vehicle based on an evaluation of multiple hypothetical trajectories by different components within a planning system. The various components provide an optimization score for each trajectory according to the priorities of the component and scores from multiple components may form a final optimization score. This scoring system allows the competing priorities (e.g., comfort, minimal travel time, fuel economy) of different components to be considered together. In examples, the trajectory with the best combined score may be selected for implementation. As such, an iterative approach that evaluates various factors may be used to identify an optimal or preferred trajectory for an autonomous vehicle when navigating an environment.

Behavior planning for autonomous vehicles

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San Jose, CA, United States of America

Raul Correal Tezanos