V2X Incident Data Collection via Multi-Source Sensor Fusion
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Solution Overview
Problem
Current vehicle-to-vehicle and vehicle-to-infrastructure communication systems are limited in collecting and utilizing data from surrounding vehicles and infrastructure for incident analysis, primarily focusing on serious events and lacking comprehensive image and numeric data from nearby vehicles and cameras.
Innovation Solution
The system employs sensors, processors, transmitters, and receivers to detect events, request, and store data from proximate vehicles and infrastructure, including cameras, to improve the quality of data collection for both serious and less serious incidents by transmitting and receiving video and numeric data via vehicle-to-vehicle and vehicle-to-everything communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is collected only from the driver's own vehicle using onboard systems, then the system complexity is reduced and ease of operation is improved, but the quality and comprehensiveness of incident data is insufficient
Solution Approach 1:
The patent combines data from multiple sources including onboard vehicle systems, surrounding vehicles, and infrastructure cameras into a unified incident analysis system. This merging of data sources improves incident data quality by providing comprehensive views from multiple perspectives while managing complexity through standardized data integration protocols.
Solution Approach 2:
The system is designed to collect and process data from multiple types of sources (vehicle sensors, surrounding vehicles, infrastructure cameras) using a universal data collection framework. This multi-functionality allows the same system architecture to handle diverse data sources, improving information quality without proportionally increasing system complexity.
2Adaptability or versatility
If data is collected only for serious events such as airbag deployment, then the system complexity is reduced and data processing load is minimized, but the ability to analyze less serious incidents is lost
Solution Approach 1:
The system dynamically adjusts its data collection and analysis capabilities based on incident severity. For serious events like airbag deployment, the system activates full multi-source data collection. For less serious incidents, the system can operate with reduced data collection, providing adaptable incident analysis capability while managing processing load and system complexity dynamically.
Solution Approach 2:
The system changes operational parameters such as data collection thresholds and analysis depth based on incident severity. By adjusting these parameters, the system achieves versatile incident analysis capability across different event types while avoiding the constant complexity of processing all possible data at maximum detail levels for every incident.
3Loss of information
If comprehensive data from surrounding vehicles and infrastructure is collected, then the quality of incident analysis is improved, but the communication network load and data transmission requirements increase
Solution Approach 1:
The system extracts and transmits only the essential incident-related data from surrounding vehicles and infrastructure, rather than transmitting all available data. This selective extraction maintains incident data completeness by focusing on critical information while significantly reducing communication network load and energy consumption for data transmission.
Solution Approach 2:
The system applies partial data collection by gathering comprehensive data when incidents occur but using selective transmission based on relevance. This approach ensures incident data completeness for analysis while avoiding the excessive energy consumption that would result from transmitting all possible data continuously or without filtering.
Data Source
AI summary
The present application generally relates to a method and apparatus for obtaining incident related data in a motor vehicle. In particular, the system is operative to determine a vehicle to vehicle contract event or near contact event, transmit a request for data, such as video, numeric, and telemetry data, from proximate actors via V2X communications channel, or to request the data be transmitted to a network storage location.