Road Obstruction Verification via Vehicle Sensor Data
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Solution Overview
Problem
Current road monitoring systems struggle to accurately evaluate road conditions and detect and verify obstructions, leading to potential incidents and accidents, and requiring costly ground services for evaluation.
Innovation Solution
A system and method that utilize sensors from vehicles to collect road conditions data, detect obstructions, determine vehicle movement patterns, generate verification strategies, select subsets of vehicles to verify obstructions, and collect verification data to accurately verify the presence and type of obstructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current monitoring systems are used to evaluate road conditions, then road monitoring can be performed, but measurement precision and reliability of obstruction detection are insufficient
Solution Approach 1:
The patent combines data from multiple vehicles equipped with sensors to collectively detect and verify road obstructions. By merging observations from several vehicles passing over the same location, the system achieves higher measurement precision and reliability than single-vehicle systems, resolving the contradiction between detection accuracy and evaluation reliability.
Solution Approach 2:
The system implements a feedback mechanism where initial obstruction detections trigger verification requests to subsequent vehicles. The verification results feed back into the system to confirm or refute initial detections, improving both measurement precision and reliability through iterative validation rather than relying on single-pass detection.
2Reliability
If ground services are deployed to verify road conditions, then accurate obstruction verification can be achieved, but resource cost and time consumption increase
Solution Approach 1:
The system enables vehicles to self-verify road conditions by collecting and analyzing their own sensor data along with data from other vehicles. This self-service approach replaces costly ground service deployments with autonomous vehicle-based verification, maintaining reliability while dramatically reducing resource consumption.
Solution Approach 2:
Instead of deploying physical ground services to verify obstructions, the system uses digital copies of sensor data from multiple vehicles to create a virtual verification process. This data-based copying approach achieves the same verification reliability as physical ground services without requiring actual deployment of personnel and equipment.
3Reliability
If all vehicles are used for obstruction verification, then verification completeness improves, but system complexity and communication overhead increase
Solution Approach 1:
The verification system is segmented into discrete components: initial detection vehicles, verification vehicles, and a central coordination system. Rather than requiring all vehicles to participate equally, the system divides verification tasks among specific subsets of vehicles, reducing overall system complexity while maintaining verification completeness through strategic segmentation of verification responsibilities.
Solution Approach 2:
The system employs partial action by selecting only a subset of vehicles for verification tasks rather than mobilizing all vehicles. This partial engagement approach maintains verification completeness by targeting specific vehicles with appropriate sensor capabilities while reducing communication overhead and system complexity compared to universal vehicle participation.
Data Source
AI summary
Systems and methods are provided for detecting and verifying obstructions on a road. The systems and methods may receive road conditions data from a vehicle. The systems and methods may detect an obstruction from the road conditions data. The systems and methods may determine a vehicle movement pattern according to the obstruction. The systems and methods may generate a verification strategy to verify the obstruction, according to the obstruction and the vehicle movement pattern. The systems and methods may select a subset of vehicles to implement the verification strategy. The systems and methods may send the verification strategy to the subset of vehicles causing the subset of vehicles to collect verification data on the obstruction according to the verification strategy. The systems and methods may receive the verification data on the obstruction from the subset of vehicles. The systems and methods may verify the obstruction based on the verification data.