Autonomous Vehicle Event Validation Using External Drive Plans
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Solution Overview
Problem
Autonomous vehicles rely solely on internal evaluations of sensor data for trajectory decisions, leading to varying accuracy and potential errors in dynamic environments, which can result in accidents due to limited precision and time constraints in evaluating detected events.
Innovation Solution
The method involves detecting events, requesting external event determinations from surrounding sources, generating internal determinations, validating events, and requesting external drive plans based on validated events to create a comprehensive and reliable drive plan for implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles rely solely on internal evaluations of sensor data for trajectory decisions, then the vehicle can respond quickly to detected events, but the accuracy and reliability of event evaluations vary and potential errors occur
Solution Approach 1:
The patent combines internal vehicle evaluations with external source evaluations into a unified decision-making system. Multiple evaluation sources (internal sensors and external sources) are merged to provide comprehensive event assessment, improving reliability through diversified input while managing complexity through structured integration protocols
Solution Approach 2:
The patent introduces an intermediary validation layer that reconciles internal and external evaluations. This mediator component compares, validates, and synthesizes information from multiple sources before final decision-making, ensuring accuracy while maintaining systematic complexity management
2Measurement precision
If autonomous vehicles use only internal sensor evaluations, then the system structure remains simple, but the precision of event detection and response is insufficient in dynamic environments
Solution Approach 1:
The patent implements preliminary action by having external sources continuously monitor and evaluate events in advance. External evaluations are performed proactively before the vehicle needs to make critical decisions, allowing the vehicle to receive pre-processed, validated information and respond more quickly with higher precision
Solution Approach 2:
The patent ensures continuity of useful action through persistent external monitoring and evaluation. External sources continuously assess events and maintain ready-state validations, eliminating gaps in detection precision while providing ongoing support that reduces the vehicle's evaluation time burden
Data Source
AI summary
A method and a system for event validation on a vehicle. The method includes detecting an event determined by the vehicle. The method can include requesting and receiving external event determination, from at least one external source within a first surrounding area, based on the event. The method also includes generating an internal event determination based on the event and validating a validated event based on the both the external and internal event determinations. The method includes requesting and receiving external drive plan, from the external source within a second surrounding area, based on the validated event. The method also includes generating an internal drive plan, validating a validated drive plan based on the internal and external drive plans, and implementing the validated drive plan.