Targeted Vehicle Warnings via Spatial Agent Detection
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Solution Overview
Problem
Conventional vehicle systems fail to generate targeted warnings specific to the position and orientation of road agents, such as pedestrians or vehicles, without affecting nearby agents, increasing the risk of accidents.
Innovation Solution
A vehicle system equipped with sensors and a computing device that detects road agents at a distance, analyzes their position, and generates targeted warnings using focused light or audio signals, ensuring the warnings are directed only to the relevant agent without interfering with others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional vehicle systems output basic warnings upon detecting road agents within proximity, then the vehicle can alert road agents of its presence, but the warnings affect or interfere with multiple road agents nearby instead of being targeted to specific agents
Solution Approach 1:
The system applies different warning characteristics to different spatial locations by analyzing road agent position and orientation. The warning output is localized to specific directions and areas based on where road agents are detected, rather than broadcasting uniformly in all directions. This ensures warnings are targeted to specific agents without interfering with others nearby.
Solution Approach 2:
The warning system is divided into multiple output components or zones that can be independently controlled. Each segment can emit warnings in specific directions or to specific detected road agents, allowing the system to target individual agents while leaving other areas unaffected.
2Measurement precision
If the vehicle system generates targeted warnings based on road agent position and orientation, then the warnings can be precisely directed to specific agents, but the system complexity increases
Solution Approach 1:
The system replaces complex mechanical or manual warning direction control with sensor-based detection and computational analysis. Sensors automatically detect road agent position and orientation, and a computing device processes this information to determine appropriate warning targeting, substituting automated electronic control for more complex mechanical steering mechanisms.
Solution Approach 2:
The system uses the road agents themselves to determine warning targeting. By detecting the position and orientation of road agents, the system automatically identifies who should receive warnings and in what direction, eliminating the need for external input or complex pre-programmed targeting scenarios.
3Loss of information
If the vehicle uses sensors and computing devices to detect and analyze road agents at a distance, then targeted warnings can be generated, but the device complexity and energy consumption increase
Solution Approach 1:
The system performs preliminary detection and analysis of road agents at a distance before warnings are needed. By using sensors to detect and computing devices to analyze road agent position and orientation early in the approach, the system prepares targeting information in advance, allowing for more efficient warning generation rather than reacting when the agent is already close.
Data Source
AI summary
A method and system for generating and outputting a targeting warning in association with a road agent is provided. The method includes detecting, by a sensor operating in conjunction with a computing device of a vehicle, a road agent at a distance from the vehicle, analyzing, by the computing device of the vehicle, one or more characteristics of the road agent at the distance, generating, by the computing device, a targeted warning based on analyzing the one or more characteristics of the road agent at the distance, and outputting, by a component operating in conjunction with the computing device of the vehicle, the targeted warning in association with the road agent at the distance.