Map Update Request for Safe Vehicle Operation After Sensor Malfunction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous and highly-assisted driving vehicles lack mechanisms to investigate and address map-related errors contributing to sensor malfunctions and accidents, and do not provide solutions for safe continuation of driving after such incidents.
Innovation Solution
A system that determines if a vehicle has been involved in an accident, assesses the associated map data, and transmits relevant information to databases or other vehicles to facilitate map updates and ensure safe operation by requesting and configuring map updates based on sensor status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle continues driving with malfunctioning sensors after an accident, then operational continuity is maintained, but safety and reliability deteriorate
Solution Approach 1:
The system performs preliminary assessment of sensor malfunctions and map errors before allowing continued operation. By evaluating the severity of damages and identifying map-related errors in advance, the system determines whether the vehicle can safely continue driving or requires immediate shutdown, thus maintaining productivity only when safety conditions are met.
Solution Approach 2:
The system continuously monitors sensor status and map data accuracy during operation, providing feedback loops that assess whether malfunctioning sensors are affecting driving safety. This feedback mechanism allows the vehicle to adapt its operational status in real-time, maintaining reliability while enabling continued operation when conditions permit.
2Reliability
If the vehicle stops operation after an accident or sensor malfunction, then safety is prioritized, but operational continuity and productivity are reduced
Solution Approach 1:
The system performs preliminary assessment of sensor malfunctions and map errors before allowing continued operation. By evaluating the severity of damages and identifying map-related errors in advance, the system determines whether the vehicle can safely continue driving or requires immediate shutdown, thus maintaining productivity only when safety conditions are met.
Solution Approach 2:
The system changes operational parameters (such as speed limits, routing constraints, or sensor fusion weights) based on the assessed severity of malfunctions and map errors. This allows the vehicle to continue operation with modified parameters that maintain safety while preserving operational continuity, rather than simply stopping or continuing unchanged.
3Reliability
If map data is updated in real-time based on accident information, then future incident prevention is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts only the specific map-related errors and relevant accident information needed for future prevention, rather than processing and storing all possible data. By taking out only the essential map data corrections and error patterns from accident reports, the system improves future incident prevention while minimizing the increase in system complexity and data processing requirements.
Solution Approach 2:
The system performs preliminary analysis of accident data to identify map-related errors before full map updates are processed. By pre-identifying and prioritizing critical map errors that contributed to accidents, the system can implement targeted updates that prevent future incidents without requiring complex comprehensive reprocessing of all map data.
4Reliability
If the vehicle investigates and reports map-related errors contributing to accidents, then future accident prevention is improved, but the complexity of error detection and reporting increases
Solution Approach 1:
The system extracts only the specific map-related errors and relevant accident information needed for future prevention, rather than processing and storing all possible data. By taking out only the essential map data corrections and error patterns from accident reports, the system improves future incident prevention while minimizing the increase in system complexity and data processing requirements.
Solution Approach 2:
The system performs partial investigation focused specifically on map-related errors rather than comprehensively analyzing all possible causes of accidents. By concentrating detection efforts on the specific subset of map data errors that contributed to accidents, the system achieves improved future accident prevention without the excessive complexity of full-spectrum error detection and reporting.
Data Source
AI summary
An approach is provided for requesting a map update based on an accident and/or damaged/malfunctioning sensors to allow a vehicle to continue driving. The approach involves determining, by one or more processors, a status of one or more sensors, one or more systems, or a combination thereof of a vehicle. The approach also involves transmitting, by the one or more processors, a request for a map update based on the status of the one or more sensors, the one or more systems, or a combination thereof of the vehicle. The approach further involves receiving, by the one or more processors, the map update in response to the request. The approach further involves configuring, by the one or more processors, at least one system of the vehicle to operate using the map update.