Vehicle Sensor Map Data Verification System
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Solution Overview
Problem
Existing navigation systems and maps do not accurately reflect real-time road conditions, leading to potential safety and efficiency issues for drivers, as they may indicate roads that are not drivable or feasible for vehicles.
Innovation Solution
A vehicle-based system that uses sensors to detect and analyze road conditions, updating map data to reflect changes such as road closures, terrain, and maneuverability, which can be communicated to both the vehicle's onboard system and a remote data server for continuous map updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation systems use static map data, then the system complexity is low, but the road condition accuracy deteriorates
Solution Approach 1:
The patent implements feedback by collecting sensor data from vehicles, comparing it with existing map data, and updating the map database when discrepancies are found. This closed-loop system continuously improves road condition accuracy by feeding back real-world observations to correct the static map data.
Solution Approach 2:
The system performs self-updates by automatically detecting road condition changes through sensor data and autonomously updating the map database without requiring manual intervention. The navigation system serves itself by using its own sensor inputs to improve its underlying map data.
2Measurement precision
If real-time sensor data is collected and processed, then the map data accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system applies partial action by selectively processing only relevant sensor data that indicates actual road condition changes. Instead of continuously processing all sensor inputs, it triggers updates only when sensor data deviates from expected map data, reducing energy consumption while maintaining accuracy.
Solution Approach 2:
The system maintains continuous monitoring of sensor data to detect road condition changes, ensuring that map accuracy is continuously improved without requiring intensive periodic processing. This continuous light-duty operation is more energy-efficient than intermittent heavy processing.
3Stability of the object's composition
If sensor data is communicated to remote server, then the centralization of map updates is improved, but the communication time increases
Solution Approach 1:
The system performs preliminary local processing of sensor data before communication, preparing and filtering data in advance. This preliminary action reduces the amount of data that needs to be transmitted and processed centrally, thereby reducing communication time while maintaining consistency.
4Ease of operation
If navigation system provides detailed route instructions, then the usability is improved, but the risk of guiding to undrivable roads increases
Solution Approach 1:
The system uses feedback from sensor data to verify the feasibility of navigation routes before providing instructions. By continuously comparing sensor observations with planned routes, the system can identify and avoid undrivable roads, ensuring that detailed navigation instructions lead to feasible destinations.
Data Source
AI summary
Methods and systems for verifying a state of a road. The system includes a sensor of a vehicle configured to detect sensor data associated with the road. The system also includes a memory of the vehicle configured to store map data. The system also includes an electronic control unit (ECU) of the vehicle connected to the sensor and configured to determine road data or maneuvering data associated with the road based on the sensor data, and update the map data with the determined road data or maneuvering data.