Autonomous Vehicle Localization Using Passenger Attention Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle localization systems do not effectively utilize passenger attention data to enhance localization and provide personalized location-based services in autonomous vehicles, limiting the ability to accurately determine physical features and provide relevant content to passengers.
Innovation Solution
The system captures passenger attention data using sensors to generate physical feature data, which is then used for vehicle localization and to select personalized content, such as videos or advertisements, by constructing a line-of-sight vector from the passenger's seat to physical features and integrating it with 2D or 3D maps, allowing for real-time content delivery and localization adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If passenger attention data is captured and processed to determine physical features, then localization accuracy and personalized content delivery are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces a processing circuit as an intermediary component that receives sensor data, generates passenger attention data, determines physical features, and initiates actions. This intermediary structure organizes the complex data processing pipeline, separating concerns between data acquisition, analysis, and action execution, thereby managing system complexity while maintaining high localization accuracy through multiple sensor inputs and sophisticated algorithms
Solution Approach 2:
The processing circuit performs multiple functions including receiving sensor data, generating passenger attention data, determining physical features, obtaining physical feature data, and initiating various actions such as localization and content delivery. This multi-functional approach consolidates diverse operations into a single processing unit, reducing overall system complexity while enabling both accurate localization and personalized services
2Adaptability or versatility
If multiple sensors and processing circuits are used to capture and analyze passenger attention data, then the ability to determine physical features and provide location-based services is improved, but cost and device complexity increase
Solution Approach 1:
The processing circuit is designed as a universal component that handles multiple tasks: receiving data from various sensor types, generating passenger attention data through different analysis methods, determining various physical features (landmarks, buildings, natural features), and initiating diverse actions including localization, navigation, and content delivery. This multi-functional design enables comprehensive location-based services while consolidating hardware requirements
Solution Approach 2:
The system segments the processing circuit into distinct functional modules: a data reception module for receiving sensor data, a data generation module for generating passenger attention data, a feature determination module for identifying physical features, and an action initiation module for executing localization and content delivery. This segmentation allows each module to be optimized independently while working together to provide versatile location-based services
3Loss of information
If passenger attention data is used to select personalized content, then passenger experience is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing sensor data to generate passenger attention data and pre-determining physical features as the vehicle travels. This advance processing allows content selection to occur quickly when needed, as the foundational data analysis is already complete. The system proactively builds the information infrastructure before content delivery is required, reducing real-time processing delays
Solution Approach 2:
The processing circuit continuously receives sensor data and generates passenger attention data throughout the vehicle's operation, rather than processing data in discrete batches. This continuous processing ensures that up-to-date information is always available for immediate content selection, maintaining both personalization accuracy and responsiveness. The uninterrupted data flow eliminates idle processing time and ensures seamless content delivery
Data Source
AI summary
Techniques are disclosed for utilizing passenger attention data captured in vehicles for vehicle localization and location-based services. In an embodiment, a method includes receiving sensor data from one or more sensors of an autonomous vehicle operating in an environment, and generating passenger attention data for a passenger of the autonomous vehicle using the sensor data. A processing circuit determines one or more physical features in the environment based on the passenger attention data. The processing circuit obtains physical feature data associated with the physical feature(s) and initiates one or more actions on the AV based at least in part on the physical feature data. The actions include but are not limited to requesting content for physical features(s) and assisting in localization of the autonomous vehicle.