Vehicle Sensor Data Diagnosis and Remote Supplementation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles rely on multiple sensors and data sources for operation, but these systems can fail, leading to inaccurate or unavailable data, which affects vehicle performance and safety.
Innovation Solution
A system using radio frequency communications, such as DSRC, allows vehicles to share data with each other and infrastructure devices, enabling the evaluation and supplementation of on-board sensor data with remote data to ensure accuracy and availability, utilizing intermediate communications circuits when primary receivers fail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles use multiple on-board sensors and data collectors for operation, then vehicle operation accuracy and reliability are improved, but system complexity and failure risk increase
Solution Approach 1:
The system divides data collection into multiple independent segments: on-board sensors, remote sensors, and infrastructure sensors. Each segment operates independently and can be evaluated separately, allowing the system to maintain reliability while managing complexity through modular data sources
Solution Approach 2:
A remote sensor system acts as an intermediary between infrastructure devices and the host vehicle. This intermediary provides alternative data paths when on-board sensors fail, reducing the direct complexity burden on the vehicle's own sensor system while maintaining operational reliability
2Reliability
If vehicles rely on on-board sensors for data collection, then data availability for vehicle operations is maintained, but data accuracy and reliability deteriorate when sensors fail
Solution Approach 1:
The system establishes remote sensor networks and infrastructure devices in advance as backup data sources. When on-board sensors fail, these pre-positioned remote sensors immediately provide cushioning support to maintain data accuracy and prevent information loss without requiring real-time system reconfiguration
Solution Approach 2:
The system continuously compares data from on-board sensors with data from remote sensors and infrastructure devices. This feedback mechanism identifies discrepancies and sensor failures in real-time, allowing the system to maintain data accuracy by detecting and compensating for sensor degradation or failure
3Measurement precision
If vehicles use remote sensors and infrastructure devices for data supplementation, then data accuracy is improved, but communication system complexity increases
Solution Approach 1:
The remote sensor system serves multiple functions: it provides backup data when on-board sensors fail, enables diagnostic comparison to detect sensor issues, and offers alternative measurement perspectives. This multi-functionality justifies the added communication complexity by delivering diverse benefits from a single infrastructure
Solution Approach 2:
The system creates redundant copies of sensor data through remote sensors and infrastructure devices. These copies allow the host vehicle to verify and supplement on-board sensor readings, improving measurement precision while the communication system manages the complexity of coordinating multiple data sources
Data Source
AI summary
A system includes a processor programmed to receive a first data value from a first data collector as an input to operate a first vehicle. The processor is further programmed to determine to exclude the first data value as the input to operate the first vehicle. The computer is further programmed to receive a second data value from a second data collector as the input to operate the vehicle, the second data value being provided by a source remote to the first vehicle; and actuate a first vehicle component based in part on the second data value.