Vehicle Course Determination Using Passable Road Detection
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Solution Overview
Problem
Existing vehicle course determination systems do not consider whether a passable road is present between detected objects, leading to unnecessary driving assistance processes when a vehicle attempts to enter such spaces.
Innovation Solution
A system that detects objects around a vehicle and determines if a passable road is present between them, adjusting the course determination and driving assist processes accordingly, by using sensors and navigation data to identify road width and signs, and treating multiple objects as a single object if no passable road is found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a plurality of objects are detected and grouped as a single object without considering passable roads, then the device complexity is reduced, but the course determination accuracy deteriorates
Solution Approach 1:
The system segments the object grouping process into two stages: first groups detected objects by spatial proximity, then further segments them by determining whether passable roads exist between them. This segmentation allows the system to maintain simple grouping logic while adding road-awareness for accurate course determination.
Solution Approach 2:
The system introduces road information as an intermediary element between object detection and course determination. By checking whether passable roads exist between detected objects, the system uses road data as a mediator to refine course determination without fundamentally changing the object detection mechanism.
2Reliability
If driving assistance is executed for all detected objects, then the reliability of obstacle avoidance is improved, but false alerts increase causing driver annoyance
Solution Approach 1:
The system performs preliminary action by determining whether passable roads exist between detected objects before executing driving assistance. This preliminary check prevents false alerts by identifying scenarios where vehicle movement between objects is actually legitimate road usage rather than obstacle avoidance.
Solution Approach 2:
The system uses road information as feedback to modulate driving assistance execution. When passable roads are detected between objects, the system adjusts its assistance behavior accordingly, creating a feedback loop that prevents unnecessary alerts while maintaining safety for genuine obstacles.
3Quantity of substance
If the system determines course based on all detected objects, then the completeness of course determination is improved, but the adaptability to actual road conditions deteriorates
Solution Approach 1:
The system applies local quality by treating different spatial regions differently based on road presence. Regions between objects with passable roads are treated as navigable space, while regions without passable roads are treated as obstacles. This local differentiation allows the system to adapt course determination to actual road conditions while using all detected objects.
Data Source
AI summary
A course determining system of a vehicle determines, when two or more objects that are present around the vehicle are detected, whether a passable road which the vehicle can enter is present between the two or more objects, recognizes the two or more objects as a single object when it is determined that there is no passable road between the two or more objects, and determines a running course based on at least one road including the passable road when it is determined that the passable road is present between the objects.