The present disclosure is related to a method of generating signals for controlling passengers in a vehicle wherein a context of the vehicle is identified, and a rule of a rule-based data system is chosen based on the specific context and the rule-based information system is comprised of a variety of rules, wherein each rule is comprised of a condition and a result component that contains conditions relevant to the particular context of the vehicle. Lastly, a confidence value that is associated with the chosen rule is determined and the confidence value represents the probability that the outcome of the rule is in line with the preferences of the user. Once a result of the selected rule is generated, and a control signal is created and output based on the result of the rule and the control signal automates a vehicle function with a degree of automation, in which the degree of automation is dependent on the confidence value of the selected rule. The disclosure is also related to a device that executes this method.

The background section made for the purpose of generally providing the context for the disclosure. The work done by the named inventor(s) is not expressly or implicitly admitted as prior art work against the disclosure to the extent that it is mentioned in the background section.

There are numerous assist systems that can be used to help the driver and the other passengers in a vehicle. The vehicle’s context will determine what information is provided to the driver in order to assist in the driving. These systems could include navigation systems, lane-guidance systems that include an automated distance control, or help with changing lanes. Moreover, systems are known that partially or completelyindependently take over the task of driving.

These systems can be adaptive, for example. They can, for instance, learn from past situations. Presently, adaptive systems, they or are based on rigid expert rules, or are based on techniques of artificial intelligence or machine learning. In the second case the specific behavior patterns are identified in the system design and are described with rules. In this case the system isn’t adaptive in the actual sense. However, it is adjusted by changing settings. These systems can be used to provide information or even in the vehicle’s interior as a driver assistance. In the second case, data models are trained by using extensive historical data. These models are used to adjust the system.

For instance, US 2015/0294223A1 has a system that uses predictive algorithms to create context-specific information about events. The event’s record is sent to a cloud memory system. Inferences are made from saved event records in this system. Inferences derived from these records can be transferred to other mobile terminals.

A system of assistance for a vehicle user is known from the WO 2017/067853A1 where the user is given suggestions on how to use the vehicle. Patterns can be identified using a self-learning system and can then be used to generate recommendations.

The DE 10 070 352 A1 driver information system is a vehicle-specific information system that allows for the creation of a personal adaptable cockpit. Based on a profile of the user, the represented information can be universally adjusted. Based on a variety of data collected while operating the vehicle, contexts are derived that take into account properties or actions of the driver or a person using the vehicle. These contexts are used to adapt the cockpit.

As of US 2017/0190337A1, a communication system for a vehicle is known that controls the output of messages to a vehicle’s the occupant. Sensors monitor the occupant of the vehicle. The output of the sensors is controlled based on parametersthat have been obtained from the monitoring of the vehicle occupant.

The invention’s goal is to offer a method of automating the functions of a vehicle to help one or more of the passengers in the vehicle. This will ensure that the actions are carried out according to the preferences of the user.

This issue can be addressed using a method, a device, and a computer-readable storage media with instructions according the independent claims. Various embodiments of the invention are the discussed in the dependent claims and the followingdescription.

In one embodiment the method of generating signals for controlling the occupants of a vehicle are described. The process involves determining a vehicle’s context. A rule of a rule that is based on the context is then selected. Each rule is composed of a condition part as well as a result part. The conditions for the vehicle are contained in the condition part.

A confidence score is assigned to the chosen rule. This value indicates how likely it is that the result of the rule will be in line with the preferences of the user.

The selected rule generates a result.

The control signal is created and an output is determined based on the rule generated. The control signal is used to automate the functions of the vehicle with a certain degree of automation. The degree of automation depends on the confidence level of the chosen rule.

The specifics of the various embodiments are provided in the accompanying drawings as well as the description that follows. Additional characteristics will be apparent in the claims and drawings.

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Begin by writing down a succinct, precise description of your invention. Do not use generic terms such as “device”, “process,” or “system”. Instead, consider synonyms to the terms you selected initially. Next, take note of significant technical terms and key words.

Use the questions below to help you determine keywords or concepts.

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2. Utilize these terms to locate relevant Cooperative Patent Classifications on the Classification Text Search Tool. If you’re unable to locate the correct classification for your invention through the classification’s class Schemas (class schedules) and then try again. Think about substituting the words that you’re using for describing your invention, if you fail to find any results in the Classification Text Search with synonyms such as the terms you used in the first step.

3. Examine 3. Go over the CPC Classification Definition to verify the validity of the CPC classification that you have discovered. The hyperlink to the CPC classification definition is provided when the classification you have selected is a blue square with a “D” to the left. CPC classification definitions will help you determine the applicable classification’s boundaries so that you can select the one that is most appropriate. They may also provide search tips or other suggestions which could prove useful in further study.

4. The Patents Full-Text Database and the Image Database allow you to retrieve patent documents that include the CPC classification. You can review and find the most relevant patent documents by paying attention to the abstract and drawings representative of.

5. This selection of patent publications is the most appropriate to examine for connections to your idea. Be sure to read the specification and claims. Contact the applicant as well as the patent examiner to obtain additional patents.

6. Search for patent applications that have been published using the CPC classification you selected in Step 3 from the Applications Full-Text and Image Database. You can use the same search strategy in Step 4 to narrow your search results down to the most relevant patent application through the abstract and representative drawings on each page. Next, examine all published patent applications carefully, paying special attention to the claims as well as other drawings.

7. You can search for other US patent publications using keyword searching in AppFT or PatFT databases, and also classification searching for non-U.S. Patents as described below. You can also utilize web search engines to search for non-patent-related patent disclosures in literature about inventions. Here are a few examples:

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To review your search, you can hire a registered patent attorney to assist. A preliminary search will help one better prepare to talk about their invention and other related inventions with a professional patent attorney. In addition, the attorney will not spend too much time or money on patenting basics.