Autonomous Vehicle Intention Signaling System
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Solution Overview
Problem
Autonomous vehicles face challenges in effectively communicating their intentions to human entities, such as pedestrians and drivers, especially in complex scenarios like intersections and crowded areas, leading to potential confusion and safety risks.
Innovation Solution
An intention signaling system that utilizes a combination of visual and audio outputs, including displays, projectors, and mechanical indicators, to convey the AV's intent and right-of-way decisions based on sensor data, ensuring clear communication with external entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles rely on traditional signaling methods, then the system complexity is low, but the communication effectiveness with human entities is insufficient leading to confusion and safety risks
Solution Approach 1:
The patent combines multiple signaling modalities (visual displays, audio outputs, and mechanical indicators) into a unified intention signaling system. This merging of different communication channels enhances reliability by providing redundant and complementary information to human entities, ensuring that the autonomous vehicle's intentions are clearly understood even if one modality is insufficient.
Solution Approach 2:
The signaling system is designed to perform multiple functions: visual displays show intent and right-of-way information, audio outputs provide verbal communications, and mechanical indicators offer additional visual cues. This multi-functionality allows the system to adapt to different communication needs and environmental conditions, improving overall communication effectiveness without requiring separate dedicated systems.
2Reliability
If the AV provides detailed intention signals to all external entities, then safety and clarity are improved, but the information processing load and system complexity increase
Solution Approach 1:
The system applies different levels of signaling detail to different external entities based on their relevance and position relative to the autonomous vehicle. Rather than providing identical comprehensive information to all entities, the system tailors the intensity and type of signaling to local conditions, such as providing more detailed signals to pedestrians near crosswalks compared to distant vehicles, thereby improving safety while managing processing loads.
Solution Approach 2:
The information processing is segmented into different modules that handle specific aspects of intention signaling independently. Visual display control, audio output generation, and mechanical indicator activation are processed as separate but coordinated functions. This segmentation allows the system to manage complex information processing tasks more efficiently by dividing them into manageable components.
3Loss of information
If the AV uses multiple output devices for intention signaling, then communication clarity is improved, but the energy consumption and device complexity increase
Solution Approach 1:
The system employs periodic activation of output devices rather than continuous operation. Visual displays are updated at appropriate intervals, audio outputs are triggered only when intention changes occur, and mechanical indicators are activated periodically to maintain awareness. This periodic action maintains communication clarity while significantly reducing energy consumption compared to continuous operation of all devices.
Solution Approach 2:
The signaling system dynamically adjusts the activation and intensity of different output devices based on real-time conditions such as detected external entities, environmental factors, and current vehicle intentions. When pedestrians are detected nearby, visual and audio signaling is enhanced; when no external entities are present, signaling is reduced or deactivated. This dynamic adaptation maintains communication clarity while optimizing energy consumption.
Data Source
AI summary
An intention signaling system for an autonomous vehicle (AV) can monitor sensor information indicating a situational environment of the AV, and detect an external entity based, at least in part, on the sensor data. The intention signaling system can generate an output to signal one of an intent of the AV or an acquiescence of the AV to the external entity.