Vehicle Path Transition Control for Prediction Path Divergence
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Solution Overview
Problem
Existing automated driving technologies face challenges in selecting an appropriate travel path, especially when the reliability of image data from vehicular cameras or map information is low, leading to potential divergence between predicted paths.
Innovation Solution
A vehicle control system that includes multiple prediction path generators based on map information and external environment data, a divergence determining unit, a transition controller, and a travel path selector. This system generates a third prediction path by combining the first and second prediction paths and selects this path during transitions from hands-off to hands-on driving when a predetermined divergence is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If hands-off driving is performed using a single prediction path, then automation level is improved, but reliability deteriorates when map information or image data reliability is low
Solution Approach 1:
The system merges multiple prediction paths (first prediction path from map information, second prediction path from image data) into a unified travel path decision. By combining multiple independent prediction sources and selecting the most reliable one, the system maintains hands-off driving automation while improving travel path selection reliability through redundant verification.
2Reliability
If multiple prediction paths are generated and compared, then travel path selection reliability is improved, but device complexity increases
Solution Approach 1:
The system segments the travel path prediction function into distinct modules: a first prediction path generator using map information, a second prediction path generator using image data, and a travel path selector that compares and chooses between them. This segmentation allows each module to specialize in one data source while maintaining overall system reliability through structured comparison and selection.
3Object-affected harmful factors
If the system transitions from hands-off to hands-on driving upon detecting divergence, then safety is improved, but productivity deteriorates due to reduced automated driving time
Solution Approach 1:
The system performs preliminary comparison between multiple prediction paths before executing hands-off driving. By预先 generating and validating multiple prediction paths, the system can detect potential divergences in advance and transition to hands-on driving proactively, preventing inappropriate path deviation rather than reacting after the fact.
Solution Approach 2:
The system continuously monitors the consistency between multiple prediction paths and provides feedback on their agreement. When divergence exceeds a threshold, the feedback triggers a transition from hands-off to hands-on driving. This closed-loop feedback mechanism ensures safety while minimizing unnecessary transitions by only activating hands-on mode when actual divergence is detected.
Data Source
AI summary
A vehicle control system includes first to third prediction path generators, an assist travel controller, a divergence determining unit, a transition controller, and a travel path selector. The first prediction path generator generates a first prediction path of a vehicle based on map information and positional information of the vehicle. The second prediction path generator generates a second prediction path of the vehicle based on external environment information. The third prediction path generator generates a third prediction path based on the two prediction paths. The assist travel controller performs hands-off driving. The divergence determining unit determines whether a predetermined divergence has occurred between the two prediction paths. The transition controller performs a transition from the hands-off driving to hands-on driving in a case where the divergence has occurred. The travel path selector selects the third prediction path as a travel path of the vehicle during the transition.