Waymo LLC (Mountain View, CA)

The system and method can be utilized to provide recommendations to a user of the vehicle. One aspect of the vehicle’s navigation is autonomous. The sensors offer information based on its location and the outputs of sensors directed towards the environment around it. Further aspects include the use of previous and current sensor data to give guidance as well as data that are based on sensors from other vehicles.

Autonomous vehicles can be set up to drive in a manual mode (where the operator exercises a high degree of control over the movement of the vehicle) or in an autonomous mode (where the vehicle basically drives itself). These vehicles utilize various computers to carry passengers. Some autonomous vehicles might require input from the driver (pilot or driver) or both. Some systems, such as autopilot systems, are utilized only when the system is activated, which allows users to switch between manual and an autonomous mode, and then to modes that are between.

A vehicle equipped with autonomous driving capability can be configured to receive signal inputs from the sensors that monitor the vehicle operations, surrounding vehicles and road conditions to determine dangers to safety and develop measures to deal with different driving situations. Autonomous vehicles can collect data from satellites, cellular networks, and user inputs, such as the identification of users, their destinations and routing requests as well as preferences for vehicle operation.

In one aspect, a method of finding a suitable route for vehicles is provided. It includes receiving data from a sensor affixed to a vehicle which senses at some moment in time, the surroundings around the vehicle. accessing the data stored in memory may also be a part of. The data that is received and accessed determine the location and are recognized by the driver in various ways, including by suggesting it.

In another aspect it is a system that includes a processor as well as an internal memory that contains instructions. The processor is capable of performing instructions and is attached to an autonomous vehicle. The processor has access to memory to store instructions and information. Data can be obtained from a sensor that is attached to the vehicle. This data can be obtained by the vehicle during the current journey or a previous trip. Instructions include receiving a destination that is entered by the user, determining the steps to be performed by the vehicle (based on sensors that determine the exact location of the vehicle as well as sensors that don’t) and suggesting the actions.

Another aspect of the invention is a technique of suggesting an action. The method involves receiving the output of a first sensor attached to a vehicle. The output is then recorded in the initial time frame. The output from the second sensor that is attached to the second vehicle can also be taken in from the vehicle that is attached to the first. The output is then recorded in a different time frame following the first. Based on the outputs from both sensors an embedded processor in the first vehicle creates an advice for the user. The recommendation relates to auto-navigating the first vehicle. The user receives the suggestion and the vehicle that follows it executes the recommendation based on whether the user indicated that they accept the recommendation.

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2. Use these terms to search for relevant Cooperative Patent Classifications at the Classification Text Search Tool. If you’re not able to find the correct classification to describe your invention, look through the classification’s Schemas of classes (class schedules) and then try again. You may want to consider substituting the terms you use to describe your invention if you fail to receive any results from your Classification Text Search with synonyms like the ones you used in step 1.

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