Assistance Control Route Prioritization for Low-Certainty Maps
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Solution Overview
Problem
The accuracy of map information in autonomous driving systems is compromised when the map information is insufficient, leading to inaccurate calculations of difficult driving locations and avoidance routes.
Innovation Solution
An assistance control system that uses an electronic control unit to generate or update map information based on sensor inputs, evaluates the certainty of map information, and prioritizes routes with lower accuracy to encourage more movements through unsuitable sections, thereby increasing the accuracy of map information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a route candidate with high map information accuracy is selected, then the reliability of assistance control is improved, but the productivity of map information acquisition is worsened
Solution Approach 1:
The system inverts the conventional route selection logic by prioritizing route candidates with lower map information accuracy evaluation values. Instead of selecting routes with high accuracy, the ECU deliberately selects routes with lower accuracy to maximize map information acquisition efficiency, while still presenting viable routes to the occupant.
Solution Approach 2:
The system changes the selection criterion parameter from map information accuracy evaluation value to its inverse relationship. Route candidates are ranked and selected based on having lower accuracy evaluation values, transforming the selection parameter to achieve dual objectives of maintaining reliability while improving productivity.
2Measurement precision
If the number of movements through unsuitable sections is increased, then the accuracy of map information is improved, but the loss of time is worsened
Solution Approach 1:
The system performs preliminary evaluation of multiple route candidates' accuracy, identifying sections with insufficient map information before selection. By pre-calculating accuracy evaluation values and identifying unsuitable sections, the system prepares optimized routes that efficiently target information acquisition needs without wasting time during actual traversal.
Solution Approach 2:
The system incorporates feedback mechanisms where map information accuracy is continuously evaluated and updated based on actual movements. The accuracy evaluation value is recalculated after each movement, and this feedback informs subsequent route selections, creating an adaptive system that optimizes the balance between time consumption and information acquisition.
Data Source
AI summary
An assistance control system performs assistance control for causing a moving object to move to a destination based on map information. The assistance control system includes an electronic control unit. The electronic control unit is configured to generate or update the map information based on input from a sensor mounted on the moving object, acquire a plurality of route candidates to the destination, evaluate certainty of the map information for each location or each section, and calculate a map information evaluation value, evaluate accuracy of the assistance control in the acquired route candidates based on the calculated map information evaluation value, and present a route candidate having the highest priority among the route candidates to an occupant of the moving object, or control the moving object along the route candidate having the highest priority.