Onboard Sensor Messaging for Occluded Intersection Collision Avoidance
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Solution Overview
Problem
Current collision avoidance systems in ground transportation lack the ability to effectively predict and prevent collisions involving non-connected ground transportation entities, particularly in scenarios where their position or motion is occluded or not broadcast, leading to increased risks of accidents at intersections and other critical areas.
Innovation Solution
The implementation of a system that includes sensors, processors, and memory for generating and sending safety messages based on predictive models, which can detect and predict dangerous situations involving connected and non-connected entities, including pedestrians and vehicles, and provide virtual safety messages to ensure collision avoidance, even when occluded or unconnected entities are involved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If collision avoidance systems rely only on broadcast data from connected entities, then system complexity is reduced, but detection capability deteriorates because occluded or unconnected entities cannot be detected
Solution Approach 1:
The patent introduces sensor equipment as an intermediary component that directly detects ground transportation entities in the environment. This sensor acts as a mediator between the communication equipment and the processor, enabling detection of both connected and unconnected entities without relying solely on broadcast data, thus resolving the contradiction between system simplicity and detection capability
Solution Approach 2:
The patent combines multiple data sources including sensor-generated information about ground transportation entities with communication equipment received information. This merging of direct sensor detection with broadcast data reception creates a comprehensive detection system that overcomes the limitations of relying on either source alone
2Difficulty of detecting and measuring
If the system uses sensor equipment to directly detect all entities, then detection capability is improved, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The processor is designed to handle multiple functions: processing sensor-generated information about ground transportation entities, processing communication equipment received information, generating predictions about dangerous situations, and determining occlusion status. This multi-functional processor reduces the need for separate dedicated components, thereby managing complexity while maintaining enhanced detection capability
3Reliability
If the system processes information from all entities including unconnected ones, then collision avoidance reliability is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and processing sensor information and communication data to generate predictions about potential dangerous situations before actual collisions occur. This advance processing and prediction capability allows the system to prepare collision avoidance measures in advance, reducing critical response time while maintaining high reliability
Data Source
AI summary
Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.