Control Map Selection for Lane-Level Autonomous Driving Guidance
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Solution Overview
Problem
Existing automatic drive control systems face inconvenience due to inaccuracies in lane-level map information, leading to potential disruptions in vehicle control.
Innovation Solution
A system that integrates high-precision map data with road network data to provide control map information, using a map information output device that determines vehicle position, selects appropriate road selection rules, and constructs control map information, including route flags, to ensure accurate and adaptable vehicle guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lane-level map information is used for automatic drive control, then vehicle control precision is improved, but map information accuracy deteriorates due to inaccuracies in lane-level data
Solution Approach 1:
The patent segments map information into two levels: road-level map information for general route guidance and lane-level map information for precise vehicle control. By dividing the mapping hierarchy, the system can use high-reliability road-level data for route determination while employing high-precision lane-level data only when needed for control, thus maintaining both control precision and overall map reliability.
Solution Approach 2:
The patent performs preliminary route determination using road-level map information before executing vehicle control. By pre-establishing the route at the road level with reliable data, the system reduces dependency on potentially inaccurate lane-level data during critical control operations, thereby maintaining control precision while accounting for map information limitations.
2Adaptability or versatility
If road selection rules are changed to adapt to route deviations, then system adaptability is improved, but control stability deteriorates due to frequent rule switching
Solution Approach 1:
The patent implements dynamic road selection rules that automatically adapt to different driving scenarios such as route deviations, merges, and splits. The system transitions between different rule sets based on real-time conditions, enabling high adaptability while maintaining control stability through smooth, condition-based transitions rather than abrupt changes.
Solution Approach 2:
The patent uses feedback from GPS position data and route deviation detection to determine when to switch between road selection rules. By continuously monitoring vehicle position and comparing it with the planned route, the system activates appropriate rules only when deviation thresholds are met, balancing adaptability with stability through feedback-driven rule selection.
3Measurement precision
If high-precision lane-level map data is processed continuously, then control accuracy is improved, but computational load increases causing processing delays
Solution Approach 1:
The patent applies partial processing by using road-level map information for continuous route determination and reserving intensive lane-level map processing only for specific situations such as route deviations or intersections. This selective application of high-precision data processing maintains control accuracy when needed while significantly reducing overall computational load and processing delays.
Solution Approach 2:
The patent applies high-precision lane-level map processing locally only in areas where it is most beneficial, such as near intersections, merges, and detected route deviations. In straight sections or areas with high map reliability, the system uses less computationally intensive road-level data, thereby maintaining control accuracy in critical zones while minimizing overall processing time.
Data Source
AI summary
A map information output device includes: a rule selector sequentially selecting one road selection rule from a plurality of road selection rules based on route guidance information; a target road selector for (i) selecting a target road for constructing control map information based on the road selection rule selected by the rule selector and a position of a vehicle, and (ii) selecting another target road for constructing control map information based on another road selection rule different from the road selection rule selected by the rule selector, respective for automatic drive control; a map information constructor sequentially constructing the control map information; and a map information output unit sequentially outputting the control map information, which determines the control map information to be output based on whether or not the vehicle is traveling on a route to be traveled.