Autonomous Vehicle Ad Display Using Real-Time Proximity Metadata
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Solution Overview
Problem
Existing autonomous vehicles lack the capability to utilize real-time metadata from sensors to deliver targeted advertisements based on the proximity of other vehicles, traffic conditions, and user-specific information for dynamic display on exterior surfaces.
Innovation Solution
An autonomous vehicle equipped with sensors and a network of display devices, utilizing metadata to determine and display relevant media content on exterior surfaces, including advertisements based on vehicle proximity, traffic patterns, and user-specific data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous vehicles collect and process real-time sensor data to generate metadata for targeted advertising, then advertising relevance and user engagement are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex advertising delivery task into distinct functional modules: sensor data acquisition, metadata generation, advertising content selection, and display control. Each module handles a specific aspect of the process, reducing overall system complexity while maintaining the capability for targeted advertising based on real-time vehicle context
Solution Approach 2:
The patent introduces an intermediary computing system that receives sensor data from autonomous vehicles, processes the information to generate metadata, and determines appropriate advertising content. This intermediary layer separates the complexity of data processing from the vehicles themselves, allowing vehicles to maintain their primary autonomous driving functions while enabling targeted advertising through an external processing system
2Productivity
If real-time metadata extraction and processing is implemented for dynamic advertising display, then advertising effectiveness is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing sensor data during normal autonomous vehicle operation, even when no advertising is immediately intended. Metadata about vehicle context, location, and environment is generated and stored in advance, so that when advertising opportunities arise, the system can quickly retrieve and utilize pre-processed information rather than starting from raw sensor data
Solution Approach 2:
The autonomous vehicle's sensor network and processing systems serve dual purposes: their primary function for autonomous driving and a secondary function for generating advertising metadata. The same sensors and computational resources that enable autonomous navigation automatically generate the contextual information needed for targeted advertising, eliminating the need for dedicated advertising hardware and reducing overall processing time
Data Source
AI summary
An autonomous vehicle including a network of one or more sensors positioned on a body of the autonomous vehicle, one or more display devices mounted on one or more exterior sides of the autonomous vehicle, at least one processor, and at least one memory storing instructions is disclosed. The instructions, when executed by the at least one processor, configure the at least one processor to: (i) receive sensor data from the network of one or more sensors; (ii) generate, from the sensor data, metadata associated with a motor vehicle in proximity of the autonomous vehicle; (iii) determine, based at least in part on the metadata, media content for displaying to a user of the motor vehicle; and (iv) initiate display of the media content on the one or more display devices mounted on the one or more exterior sides of the autonomous vehicle.


