Autonomous Driving Map Control With Section-Based Regulatory Data
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Solution Overview
Problem
Autonomous driving technologies face challenges in recognizing and adhering to varying regional regulations, particularly due to limited sensor accuracy influenced by weather and environment, leading to uncertainty in autonomous driving capabilities across different areas.
Innovation Solution
A map information storage device and autonomous driving control device that store and transmit regulatory information for each section, indicating the level of autonomous driving allowed, enabling vehicles to recognize and comply with regulations by acquiring and displaying this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving is performed using sensor recognition (camera, acceleration sensor, gyroscope sensor), then the vehicle can recognize peripheral information and vehicle state, but the recognition accuracy is limited by weather conditions and environment, leading to uncertainty in autonomous driving capabilities
Solution Approach 1:
The system performs preliminary actions by storing regulatory information in advance for different geographic regions and weather conditions. Before autonomous driving in a specific area, the system retrieves pre-stored regulatory data corresponding to that region's characteristics, enabling the vehicle to proactively adjust its autonomous driving capabilities rather than reacting to uncertain sensor recognition in real-time.
2Reliability
If the vehicle switches autonomous driving on-state/off-state manually when crossing borders, then compliance with regional laws is achieved, but the driver burden increases and operation convenience decreases
Solution Approach 1:
The system implements self-service by automatically detecting the vehicle's geographic location through GPS or other positioning systems and autonomously switching autonomous driving functions based on stored regulatory information for that region. The driver无需 manually switch modes; the system independently determines and applies the appropriate autonomous driving regulations for the current location, eliminating the need for manual intervention while maintaining legal compliance.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring the vehicle's location and comparing it with stored regulatory data for different regions. When the vehicle enters or exits a region with different autonomous driving regulations, the system receives feedback about the location change and automatically adjusts the autonomous driving function state accordingly, ensuring continuous compliance without driver action.
3Reliability
If autonomous driving is restricted in certain road sections (well-trafficked areas, areas near governmental facilities), then safety is improved, but the system complexity increases due to need for detailed regulatory information
Solution Approach 1:
The system applies segmentation by dividing geographic space into distinct regions, each with specific autonomous driving regulatory characteristics. Regulatory information is stored and managed by region, allowing the system to handle complexity in a modular way rather than as a monolithic system. Each region can be independently defined and managed with its own set of rules, simplifying the overall system architecture.
Data Source
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.