Map Data Update System for Accident-Related Error Correction
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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 continued 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 supplementing malfunctioning sensors with updated map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles monitor sensors and systems during operation and assemble malfunction records, then the ability to detect and report accidents is improved, but the investigation of map-related errors contributing to accidents is insufficient
Solution Approach 1:
The system implements feedback by transmitting accident information and map data to a server, which processes the data and sends back map corrections and updates to the vehicle. This closed-loop feedback mechanism enables continuous improvement of map accuracy based on real-world accident data, allowing the system to learn from past incidents and prevent future map-related errors.
Solution Approach 2:
The system performs preliminary actions by maintaining local map data in the vehicle before accidents occur, and by pre-processing accident information and sensor data to identify potential map errors. This allows the system to quickly respond to accidents by comparing pre-stored map data with actual accident conditions, enabling rapid identification of map-related contributing factors.
2Productivity
If the vehicle continues driving after an accident or malfunction, then operational continuity is maintained, but the ability to ensure safe operation with malfunctioning sensors is compromised
Solution Approach 1:
The system changes operational parameters by adjusting vehicle operating modes based on sensor malfunction status. When malfunctions are detected, the system modifies parameters such as speed limits, acceleration rates, and routing decisions to compensate for degraded sensor capabilities. This allows the vehicle to continue operating safely by adapting its behavior to match the reduced sensing capabilities.
Solution Approach 2:
The system introduces map data as an intermediary element that mediates between malfunctioning sensors and vehicle control decisions. When sensors fail or provide unreliable data, the system relies on pre-stored map information to supplement sensor input and maintain safe operation. This intermediary map data bridge allows continuous operation despite sensor deficiencies.
3Reliability
If map data is updated based on accident information, then future accident prevention is improved, but the complexity of processing and transmitting map corrections increases
Solution Approach 1:
The system extracts only the essential and relevant information from accident data for map updates, rather than processing complete accident records. By identifying and extracting only the specific map-related error contributors (such as location coordinates, road geometry issues, or environmental factors), the system reduces the complexity of data processing and transmission while maintaining the effectiveness of future accident prevention.
Data Source
AI summary
An approach is provided for determining map improvements based on detected accidents. The approach involves determining that a vehicle was involved in an accident. The approach also involves receiving a report indicating map data configured in the vehicle at a time of the accident. The approach further involves determining an association between the configured map data and the accident. The approach further involves performing one or more of the following operations: (1) transmitting the association and/or at least a portion of the configured map data to a database and/or a computing device; or (2) determining at least one map change to the configured map data based on the determined association, and transmitting the at least one map change to the vehicle, at least one other vehicle, the database, and/or the computing device.