Google Inc.

Waymo LLC

Mark Andrew Paskin

Pravir Kumar Gupta

Michael Buchanan

Jared Stephen Russell

Robert J Stets, Jr

Jon M Wiley

Jonathan James Effrat

Yew Jin Lim

Kelly Poon

The technology relates to controlling a vehicle in an autonomous driving mode. In one instance, sensor data identifying an object in an environment of the vehicle may be received. A first path of a first trajectory where the vehicle will pass the object may be determined. A function is used to determining a first maximum speed of the vehicle based on a predetermined minimum lateral clearance between the object and the vehicle. The first maximum speed may be used to determine whether an actual lateral clearance between the object and the vehicle will meet the predetermined minimum lateral clearance. The determination of whether the actual lateral clearance will meet the predetermined minimum lateral clearance may be used to generate a first speed plan for the first trajectory. The vehicle may be controlled in the autonomous driving mode according to the first trajectory including the first speed plan and the first path.

Speed-dependent required lateral clearance for autonomous vehicle path planning

The specification relates to a method of receiving a first query and a second query. The method analyzes the second query for a presence of anaphora. If anaphora is present, the method analyzes the first query for a presence of an entity that can be associated with the anaphora. If the analysis analyzing the first query returns two or more associated entities, the method forms a third query wherein the anaphora of the second query is replaced with one of the associated entities and forms a fourth query wherein the anaphora is replaced with the other of the associated entities. The third query and the fourth query are sent to a query-ranking engine. The third query and the fourth query receive a ranking and the higher-ranked query is sent to a search engine.

Using web ranking to resolve anaphora

In general, the subject matter described in this specification can be embodied in a method that includes: obtaining user feedback associated with quality of an electronic document; adjusting a measure of relevance for the electronic document based on a temporal element of the user feedback; and outputting the measure of relevance to a ranking engine for ranking of search results, including the electronic document, for a search for which the electronic document is returned. Obtaining the user feedback can include receiving user selections of documents presented by a document search service, the method can include evaluating the user selections in accordance with an implicit user feedback model to determine the measure of relevance, and adjusting the measure of relevance can include adjusting the measure of relevance in accordance with the implicit user feedback model.

Modifying search result ranking based on a temporal element of user feedback

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting spelling suggestions. In one aspect, a method includes receiving first search results for a first search query and a plurality of spelling suggestions for a first term in the first search query, wherein the first search results are provided by a search engine as a response to the first search query; displaying the plurality of spelling suggestions and the first search results in a user interface; receiving a user input selecting one of the plurality of spelling suggestions; transmitting data identifying the selected spelling suggestion to request second search results for a second search query comprising the selected spelling suggestion from the search engine; and displaying the second search results in place of the first search results in the user interface.

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Belmont, CA, United States of America

Mark Andrew Paskin