Semiotic Vehicle Control for External Communication
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Solution Overview
Problem
Current vehicle operational management systems lack effective mechanisms for efficiently providing information about current and imminent vehicle operations to pedestrians and external objects, limiting safety and efficiency in autonomous vehicle navigation.
Innovation Solution
Structured multivariate contextual vehicle operation with integrated semiotic control, where a processor identifies operational environment information and control actions to output semiotic representations of vehicle states and intentions, enhancing communication with external entities through modalities like lighting and communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicle operational management systems use traditional control methods without semiotic representations, then system complexity is reduced, but information communication effectiveness to pedestrians and external objects deteriorates
Solution Approach 1:
The patent introduces semiotic representations as an intermediary layer between the vehicle control system and external entities. These semiotic representations (visual, auditory, haptic signals) mediate the communication of vehicle operational states and intentions to pedestrians and other road users, thereby improving information effectiveness without requiring fundamental changes to the core control architecture
Solution Approach 2:
The communication system is segmented into distinct semiotic channels (visual signals, auditory signals, haptic feedback) that can be independently controlled and optimized. Each channel conveys specific aspects of vehicle state or intention, allowing for targeted information delivery without overwhelming the system with monolithic communication requirements
2Reliability
If vehicle systems output detailed semiotic representations of operational states, then safety is improved, but information processing time increases
Solution Approach 1:
The system pre-defines semiotic representations for common operational states and scenarios during system initialization or offline preparation. When the vehicle encounters a standard situation, the corresponding pre-prepared semiotic representation can be quickly retrieved and output without requiring real-time generation, thus maintaining safety communication while reducing processing time
Solution Approach 2:
The system outputs semiotic representations selectively based on the current operational context. Not all operational states require full semiotic communication at all times - the system adjusts the level and detail of semiotic output according to the situation, providing comprehensive information when safety-critical but reducing communication overhead during routine operations
Data Source
AI summary
Structured multivariate contextual vehicle operation with integrated semiotic control may include identifying operational environment information representing a current operational environment for the vehicle, identifying a vehicle control action for controlling the vehicle to traverse a portion of a vehicle transportation network, identifying vehicle control modification information in response to the operational environment information, identifying vehicle control information in response to the vehicle control modification information and the vehicle control action, and controlling the vehicle to traverse a portion of a vehicle transportation network in accordance with the vehicle control information by controlling the vehicle to traverse the portion of the vehicle transportation network in accordance with the vehicle control information such that controlling the vehicle to traverse the portion of the vehicle transportation network in accordance with the vehicle control information includes controlling the vehicle to output a semiotic representation of the vehicle control information.