Vehicle Event Detection via Occupant Dialogue Verification
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Solution Overview
Problem
Current advanced drive support systems in vehicles fail to resolve ambiguity or insufficiency in detected events, leading to incomplete notification of nearby vehicles about potential hazards.
Innovation Solution
A method and system that involve a computing device storing event candidate information, generating dialogues with vehicle occupants to clarify ambiguities, and reporting events only when information is sufficient, ensuring accurate notification to nearby vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If event candidate information is stored and processed without verification dialogue, then processing speed is improved, but information accuracy and completeness deteriorate
Solution Approach 1:
The system performs preliminary actions by storing event candidate information immediately when detected, then subsequently initiates verification dialogues with nearby vehicles. This allows the system to prepare event data in advance while still verifying its accuracy before final notification, thus maintaining both processing speed and information accuracy.
Solution Approach 2:
The system implements feedback by establishing dialogues with occupants of nearby vehicles to verify event candidate information. The verification results feed back into the system to confirm or correct the event data, ensuring accuracy while maintaining efficient processing through structured feedback loops.
2Measurement precision
If verification dialogue with vehicle occupants is conducted, then information accuracy is improved, but system complexity and time consumption increase
Solution Approach 1:
The system uses an intermediary approach by leveraging existing vehicle occupants as information sources through automated dialogues. This intermediary verification method simplifies the overall system architecture compared to deploying additional sensors or detection devices, as it reuses the human information sources already present in nearby vehicles.
Solution Approach 2:
The verification dialogue system serves multiple functions: it verifies event accuracy, collects additional contextual information, and potentially identifies other hazards. This multi-functionality reduces the need for separate verification systems, thereby managing complexity while improving information accuracy.
3Loss of time
If event notification is sent without verification, then response time to nearby vehicles is improved, but reliability of hazard information deteriorates
Solution Approach 1:
The system prepares event candidate information and identifies nearby vehicles in advance, then quickly initiates verification dialogues. This preliminary preparation minimizes the time penalty of verification, while the subsequent rapid notification process ensures that once verification is complete, alerts are sent immediately to nearby vehicles, maintaining both speed and reliability.
Solution Approach 2:
The system implements rapid feedback loops where verification results are immediately processed and used to determine whether to send notifications. This fast feedback mechanism ensures that reliable information reaches nearby vehicles with minimal delay, balancing notification speed with information reliability.
4Loss of information
If multiple dialogues are conducted with different vehicle occupants, then information completeness is improved, but time loss and processing duration increase
Solution Approach 1:
The verification process is segmented into priority levels, with critical information verified first through dialogues with the first available vehicle occupant. Less critical or supplementary information is then verified through additional dialogues if time permits. This segmentation allows the system to achieve essential information completeness while managing verification time through prioritized processing.
Solution Approach 2:
The system performs partial verification by conducting dialogues with a limited number of vehicle occupants (e.g., first one or two available) rather than all possible nearby vehicles. This partial action approach achieves sufficient information completeness for safety-critical decisions while avoiding excessive time loss that would result from verifying with every nearby vehicle.
Data Source
AI summary
A method, system, and computer program product are provided. At least some received event candidate information concerning a possible event is stored as an event candidate in a database. A dialogue is generated with an occupant of a vehicle located in a vicinity of the possible event to obtain and store information to resolve any insufficiency or ambiguity regarding the event candidate in the database. When the information stored in the database regarding the event candidate is determined to be sufficient and unambiguous the event candidate is made into an event in the database. The event is reported to at least one vehicle approaching a location corresponding to the event.