Virtual Lane Generation for Vehicle Navigation
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Solution Overview
Problem
Existing vehicle control systems cannot replicate a target locus similar to those of other vehicles, limiting their ability to navigate and avoid collisions effectively, especially in scenarios without clear lane boundaries.
Innovation Solution
A vehicle control system that includes a server and vehicle control device connected via a network, where the server generates virtual lane information based on the traveling loci of other vehicles and transmits it to the vehicle control device, which uses this information to generate a target course for the vehicle to follow, allowing it to move along a virtual lane similar to other vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle control system uses only real lane boundary information for navigation, then it can follow defined road lanes, but it cannot acquire a target locus similar to other vehicles in areas without clear lane boundaries
Solution Approach 1:
The patent introduces virtual lane information as an intermediary element that mediates between real lane boundaries and vehicle target loci. The server generates virtual lane information representing actual vehicle travel paths, which then serves as a reference for the ego vehicle to follow, enabling consistent navigation behavior even when real lane boundaries are absent or unclear
Solution Approach 2:
The system creates copies of actual vehicle traveling loci as virtual lane information. By copying and storing the paths that other vehicles actually take, the system enables the ego vehicle to replicate similar trajectories, achieving consistent navigation behavior across multiple vehicles without relying on explicit lane markings
2Stability of the object's composition
If the vehicle control system relies on predefined road lane markings, then it can maintain structured navigation, but it fails to adapt to dynamic traffic patterns and actual vehicle behavior
Solution Approach 1:
The system transitions from static lane marking-based navigation to dynamic virtual lane information that reflects actual vehicle behavior. The virtual lane information is continuously updated based on real-time vehicle loci data, allowing the navigation structure to adapt dynamically to changing traffic patterns and actual driving behaviors
Solution Approach 2:
The system implements feedback by using actual vehicle traveling loci to generate virtual lane information that subsequently guides vehicle navigation. This closed-loop approach allows the system to learn from real vehicle behavior and continuously improve navigation accuracy, enhancing collision avoidance through adaptive rather than purely rule-based control
3Device complexity
If the system processes only real lane information, then it maintains simple processing logic, but it cannot generate target courses that match actual vehicle travel patterns
Solution Approach 1:
The server acts as an intermediary that performs the complex processing of aggregating and analyzing vehicle loci data to generate virtual lane information. This distributes the computational complexity from individual vehicle systems to a centralized server, allowing individual vehicles to maintain simple processing logic while still benefiting from accurate target locus generation based on collective vehicle behavior data
Data Source
AI summary
This vehicle control system (1) is configured from a vehicle control device (2) installed in a vehicle and a server (40) connected to the vehicle control device (2) via a network. The server (40) is equipped with: a virtual lane generation section which generates virtual lane information relating to a virtual lane virtually set on a road on the basis of at least the travelling locus of another vehicle other than the vehicle; and a server communication section (42) which transmits, to the vehicle control device, the virtual lane information generated by the virtual lane generation section. The vehicle control device (2) is equipped with: a vehicle communication section (14) which receives the virtual lane information from the server (40); a target course generation section (28) which generates a target course of the vehicle on the basis of the virtual lane information; a vehicle control section (39) which causes the vehicle to move along the target course generated by the target track generation section (28).