Autonomous Driving Map Control for Regional Regulation Compliance
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Solution Overview
Problem
Autonomous driving vehicles face challenges in recognizing and adhering to varying regional regulations regarding autonomous driving, which can lead to safety concerns and legal issues due to differences in laws across countries and states, as well as specific restrictions on road sections.
Innovation Solution
A map information storage device and an autonomous driving control device that store and transmit autonomous driving regulatory information to vehicles, allowing them to recognize and adjust their autonomous driving functions according to the regulations of each road section, thereby ensuring compliance and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If map information is frequently updated to ensure latest traffic data, then data freshness is improved, but communication time and power consumption increase
Solution Approach 1:
The system performs preliminary actions by storing map information locally in advance and updating it only when necessary (when traffic information indicates a change). This allows the autonomous vehicle to have latest map data ready before needed, reducing frequent communication cycles and saving time while maintaining data freshness.
Solution Approach 2:
The system uses feedback from traffic information to trigger map information updates only when actual traffic conditions change. By monitoring traffic information and comparing it with stored map data, the system updates map information selectively rather than frequently, reducing communication time while ensuring data remains fresh when needed.
2Reliability
If map information is frequently updated to ensure latest traffic data, then data freshness is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary actions by storing map information locally in advance and updating it only when necessary (when traffic information indicates a change). This allows the autonomous vehicle to have latest map data ready before needed, reducing frequent communication cycles and saving power while maintaining data freshness.
Solution Approach 2:
The system uses feedback from traffic information to trigger map information updates only when actual traffic conditions change. By monitoring traffic information and comparing it with stored map data, the system updates map information selectively rather than frequently, reducing power consumption while ensuring data remains fresh when needed.
3Measurement precision
If detailed map information is stored to improve positioning accuracy, then positioning precision is improved, but data storage requirements increase
Solution Approach 1:
The system applies local quality by storing detailed map information (such as lane markings, road boundaries, and geographic features) only in the relevant local areas where the autonomous vehicle operates. Instead of storing complete global map data, the system maintains detailed information locally for positioning while using less detailed traffic information for broader context, reducing overall data storage requirements while maintaining positioning precision.
Data Source
Figure 1
Figure 2~3
Figure 4A~4C
AI summary
A server device 2 stores a distribution map DB 21 including autonomous driving regulatory information Ir for regulating autonomous driving of a vehicle in a predetermined section, and sends map data D1 including the autonomous driving regulatory information Ir to a driving assistance device 1. Then, the driving assistance device 1 receives the map data D1 including the autonomous driving regulatory information Ir and controls the autonomous driving of the vehicle based on the received autonomous driving regulatory information Ir.