Vehicle Occupant Mapping Using Sensors and Mobile Devices
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Solution Overview
Problem
Conventional technologies fail to accurately identify and differentiate between occupants in a vehicle, particularly in shared spaces, leading to inadequate customization of services and content for both drivers and passengers, as they rely on implicit location assumptions and lack integration with multiple devices.
Innovation Solution
An occupancy assessment system that uses pressure sensors, cameras, and mobile devices to determine the position and identity of occupants within a vehicle, enabling rich integration of services and content through a computing platform, sensors, and mobile devices, allowing for anonymous presence detection and device location estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional driver identification technologies are used based on implicit location assumptions, then the system is simple to implement, but it fails to accurately identify and differentiate between multiple occupants
Solution Approach 1:
The patent combines multiple detection technologies (pressure sensors, cameras, mobile device detection) into a unified occupancy assessment system. This merging of detection methods enables accurate identification and differentiation of multiple occupants while maintaining system manageability through integrated processing.
Solution Approach 2:
The system employs multi-functional detection capabilities that can identify both driver and passenger occupants using the same infrastructure. The computing platform processes various types of data (pressure, visual, device signals) to perform multiple functions including occupancy detection, positioning, and identification across different vehicle roles.
2Adaptability or versatility
If the system integrates multiple sensors and devices for occupancy assessment, then it can provide personalized services and content, but the device complexity increases
Solution Approach 1:
The patent segments the occupancy assessment function into distinct components: pressure sensors for presence detection, cameras for visual verification, mobile device detection for identity confirmation, and a computing platform for integration. This segmentation allows each component to perform its specialized function while the system as a whole achieves high adaptability for personalized services.
Solution Approach 2:
The computing platform acts as an intermediary that receives data from multiple sensors and devices, processes this information, and generates occupancy assessments. This intermediary role manages the complexity by centralizing the integration logic and providing a unified interface for service customization based on detected occupancy.
3Reliability
If the system uses anonymous presence detection and device location estimation, then it can protect occupant privacy, but it reduces the ability to identify specific individuals
Solution Approach 1:
The system dynamically adjusts the level of identification based on context. It can operate in anonymous mode for basic presence detection and privacy protection, while also capable of identifying specific individuals when needed for personalized services. The computing platform processes device locations and sensor data to determine appropriate identification levels for different scenarios.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables seamless and personalized experiences for vehicle occupants by accurately determining the number and identity of passengers, allowing for tailored services, entertainment, and educational content, enhancing safety, education, and social interactions within the vehicle.
Implementation Method 1
uses pressure sensors, cameras, and mobile devices to determine the position and identity of occupants within a vehicle
Implementation Method 2
uses pressure sensors, cameras, and mobile devices to determine the position and identity of occupants within a vehicle
Data Source
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AI summary
An apparatus for device identification and mapping in an enclosure, comprising: one or more sensors associated with the enclosure; an antenna configured to receive a wireless signal from a first device of a plurality of devices, wherein the wireless signal is associated with a signal strength; at least one memory having computer-executable instructions and information objects stored thereon; and at least one processor functionally coupled to the antenna and the at least one memory and configured, by the computer-executable instructions and the information objects, to: collect, by the at least one processor, data from the one or more sensors associated with the enclosure, wherein the data is indicative of a presence of a first occupant of one or more occupants of the enclosure; determine, by the at least one processor and based on the data collected from the one or more sensors, a location of the first occupant; determine, by the at least one processor and based on the signal strength and the location of the first occupant, a location of the first device; generate, by the at least one processor a mapping of the location of the first occupant and the location of the first device; associate, by the at least one processor, the first occupant with the first device; assign, by the at least one processor and based on identification information, a first identity to the first occupant, wherein the identification information is indicative of a first end-user being associated with the first device; receive, by the at least one processor, confirmation information from the first device, wherein the confirmation information is indicative of an accuracy of the assigned first identity; and generate, by the at least one processor and based on the assigned first identity, content for presentation to the first end-user.