Deep Dive into the New Logic: Occupant Sensing Functions
Introduction - Feature Architecture
Deep Dive into the New Logic
The Logic related to the Signal Outputs Generation for Vehicle Safety Features
Continuing the discussion on the topic of Occupant Sensing Functions, let’s delve into the Logic associated with the algorithm based on the given Usecase and predefined occupant attributes.
Once the Data Acquisition begins, the information related to the alive presence attributes is collected and analyses. This takes place until the presence and location requirements are met. During the Data Acquisition and Processing the analysis of the information commences. The data sets are compared to the requirements sets. For the identification of the Alive presence, it is a minimum presence criteria set discussed earlier. Sequentially, for the Location of the presence, it is relationship of the alive object to the Vehicle Seat Map.
This article will focus on the Vehicle Interior Boundary – (condition) defined by the Interior and the Logic associated with the readiness to prove the Signal Outputs. In conjunction with the “Field of View”, this element is necessary to complement the requirements sets related to the mentioned above Signal Outputs, in order to provide the verifiable signals.
References:
The Presence Detection Function: https://georgedallen.com/develop-presence-detection-new-occupant-sensing-tech/
The Occupant Location Function: https://georgedallen.com/develop-occupant-location-new-sensing-tech/
Passive Safety Features: https://georgedallen.com/evolution-of-occupant-safety-systems-in-the-vehicle-development/
The Significance of The Field of View, Vehicle Seat Map and the Interior Boundary – all Prerequisites to the development of the proper Logic
Continuing with the definitions of these prerequisites:
The “Field of View”: Is volume of the system’s capability to sense or begin the data acquisition based on the placement of the sensor (set) into the Vehicle. This can be a combination of the sensors placed in the various location of the vehicle, capable to facilitate the data acquisition and communicate it to the System’s processor unit.
The Vehicle Seat Map: Is the display of the vehicle occupancy (location) opportunities for the alive and non-alive beings’ location. It extends outside of the Vehicle to show the out of vehicle locations, which can have designations on the map, if necessary. The interior consists of the designated seating locations and the areas in between. In addition, there is a Cargo compartment with possibilities for the occupancy by alive and non-alive objects.
The Interior Boundary (condition): is the actual imaginary border between the interior and exterior on the Vehicle volume. It is to be used as a supplemental criteria element for the verification algorithm defining presence and or location of the object in the vehicle. Per the request of the Governing Feature, the system shall be capable to provide the approximate location of the objects, in order to facilitate the intended functions.
Unlocking the Core of System Development: Vehicle Content Visual Review (Example)
Notes: Development of the Logic for the Vehicle Features
Consequently, for specific Usecases / Functions the immediate response is crucial. Examples of utilization of the Boundary condition:
- The Vehicle intrusion Feature – it is the proximity of the incoming person, possible location outside or already inside the vehicle
- Partial occupant incoming presence assessment, it is incomplete requirement for the verified location, or usage of the Seat Belt
- The Notification Features and during after potential collision, it is providing the information related to the potential presence and location of the alive occupant
- The Seat Belt monitoring function, it can be used as a beginning of the monitoring and timing tracking related to the “In the Vehicle” but not yet seated occupants
- Etc.
Generally, it is absolutely necessary for the System “to comprehend” an immediate body location for the assessment related to various functions and readiness for the Signal Outputs. This can be an intermediate steps for some functions, and the logical beginning for others.
Example Logic: Simple algorithm for the incoming person
Comments Related to the Example
- The table has simplified content
- The system’s power will be available per Vehicle content and functional intent, governed by one of the sensing Features
- The number of the occupants can increase, making the Usecase more complex
- The assigned classification is based on the Minimum Defined Criteria (see reference)
- The occupant(s) can be an animal(s) and / or the person(s) of various sizes
- The Occupant may decide not to enter; also, may decide to leave after partial or full entry
- More than one occupant may engage in the complex motions around the vehicle and within the Interior
Other variations / scrips are possible.
Conclusion: Ensuring the proper Logic Development for the Optimal Occupant Sensing Functionality
In conclusion, the logic underpinning the development of algorithms for data acquisition, processing, analysis, and decision-making within occupant sensing systems is crucial. By comprehensively addressing factors such as Field of View, Vehicle Seat Map, and Boundary Conditions, these algorithms can effectively interpret and respond to varied scenarios. This logical framework serves as the cornerstone for creating algorithms that accurately assess occupant presence and position within vehicles for the enhanced safety functions.
Moreover, by adhering to a logical approach, engineers can streamline the development process and ensure the seamless integration of these algorithms into vehicle interfaces. Ultimately, the proper application of logic ensures that occupant sensing systems function optimally, providing reliable Signal Outputs that facilitate efficient communication and decision-making. Embracing this logical methodology is essential for advancing the effectiveness and usability of occupant sensing technology in modern vehicles.
Ultimately, these foundational steps culminate in the strategic mapping of activities tailored towards AI and Virtualization development, solidifying the logical progression in enhancing Occupant Sensing System functions.
References:
Development of the Prerequisites: https://georgedallen.com/development-of-the-prerequisites-new-passive-safety-features/
Virtual Development: https://georgedallen.com/virtual-development-embracing-tomorrow-today/
“Virtualization” definition: https://en.wikipedia.org/wiki/Virtualization
Conclusion: Ensuring Optimal Occupant Presence Detection Functionality
About George D. Allen Consulting:
George D. Allen Consulting is a pioneering force in driving engineering excellence and innovation within the automotive industry. Led by George D. Allen, a seasoned engineering specialist with an illustrious background in occupant safety and systems development, the company is committed to revolutionizing engineering practices for businesses on the cusp of automotive technology. With a proven track record, tailored solutions, and an unwavering commitment to staying ahead of industry trends, George D. Allen Consulting partners with organizations to create a safer, smarter, and more innovative future. For more information, visit www.GeorgeDAllen.com.
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