Waymo LLC

Google Inc.

Henning Hohnhold

Ajay Joshi

Xiang Gao

Xiaoyue Zhao

Yin-Hsiu Chen

Kevin Cao

Omkar Muralidharan

Katharine Patterson

Vishay Nihalani

Christopher Davis Monkman

Joseph Lee

Aspects of the disclosure provide a method of providing a destination to an autonomous vehicle in order to enable the autonomous vehicle to collect data according to a targeted driving goal. For instance, a current location of an autonomous vehicle may be received. A set of destinations may be selected from a plurality of predetermined destinations. A route may be determined for each destination. A relevance score may be determined for each destination based on the determined routes and the targeted driving goal. Each destination may be assigned to one of a set of two or more buckets based on the relevance scores. A destination of the set may be selected based on a predetermined sampling probability. The selected destination is sent to the autonomous vehicle in order to cause the autonomous vehicle to travel to the selected destination in an autonomous driving mode.

Targeted driving for autonomous vehicles

Aspects of the disclosure provide for the generation of a driving difficulty heat map for autonomous vehicles. For instance, log data generated by a vehicle being driven in a manual driving mode for a segment of a route may be input into a disengage model in order to generate an output identifying a likelihood of a vehicle driving in an autonomous driving mode requiring a disengage from the autonomous driving mode along the segment of the route. The log data may have been collected within a geographic area. A grid for the geographic area may be generated. The grid may include a plurality of cells. The output is assigned to one of the plurality of cells. The plurality of cells and assigned output may be used to generate a driving difficulty heat map for the geographic area.

Driving difficulty maps for autonomous vehicles

Driving difficulty heat maps for autonomous vehicles

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating digital content. In one aspect, a system includes a distributed computing system that accesses the third-party corpus database to evaluate the various third-party content and transmit, to a user device, digital data that produce visualizations of at least a portion of a set of the various third-party content in a display of the user device. The digital data include instructions that cause presentation of at least some of the visualizations of the various third-party content at the user device according to respective formatting that was selected by the distributed computing system for each of the at least some of the various third-party content.

Location specific content visualization formatting

Growing community of inventors

San Francisco, CA, United States of America

Henning Hohnhold