Vehicle Navigation Pop-Up Timing for Junction Entry Accuracy
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Solution Overview
Problem
Existing vehicle navigation systems struggle to ensure drivers recognize junction entry information, particularly in unfamiliar areas, at night, or during traffic jams, leading to increased chances of missed junctions and prolonged travel times.
Innovation Solution
A device and method for controlling a vehicle that dynamically determines the output point of a pop-up image guiding junction entry information based on factors such as entry failure probability and traffic information, ensuring the image is easily recognizable by the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the pop-up image is output at a fixed distance before the junction (1 km for highway, 300 m for general road), then the driver has sufficient time to notice the guidance information, but the driver may miss the junction entry timing especially when traveling at high speed or in unfamiliar areas
Solution Approach 1:
The patent applies dynamics by making the pop-up image output distance variable rather than fixed. The system dynamically adjusts the output distance based on real-time conditions including vehicle speed, junction type, driver behavior patterns, and historical data. This allows the guidance system to adapt to different driving scenarios, ensuring timely notification while preventing missed junctions even at high speeds or in unfamiliar areas.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring driver responses to pop-up images and adjusting future output distances accordingly. When a driver consistently misses junctions despite seeing pop-up images at standard distances, the system learns from this behavior and modifies the output timing. This feedback loop enables the system to optimize guidance timing for each driver's specific response patterns, improving junction entry accuracy without adding travel time.
2Reliability
If the pop-up image output distance is increased to ensure driver recognition, then the driver can recognize the junction entry information earlier, but the driver may attempt unnecessary lane changes to avoid missing the junction timing
Solution Approach 1:
The patent applies local quality by providing different pop-up image output distances for different junction types and locations rather than using a uniform distance. The system analyzes the specific characteristics of each junction (e.g., highway interchange vs. local road intersection) and adjusts the output distance accordingly. This localized approach ensures drivers receive timely notifications for complex junctions while avoiding overly early notifications for simpler junctions where drivers have adequate reaction time, thereby preventing unnecessary lane changes and reducing collision risks.
3Adaptability or versatility
If the pop-up image is output at a standard distance for each road type, then the system is simple to implement, but the system cannot adapt to individual driver behavior patterns and unfamiliar road conditions
Solution Approach 1:
The system implements self-service by automatically learning and adapting to driver behavior patterns without requiring manual configuration or complex user input. The system monitors driver responses to pop-up images, analyzes successful and unsuccessful junction entries, and autonomously adjusts output distances based on these observations. This self-learning capability enables the system to adapt to individual driver preferences and unfamiliar road conditions while maintaining relatively simple system architecture, as the adaptation occurs through automated data analysis rather than complex user interfaces or manual programming.
Data Source
AI summary
A device for controlling a vehicle including a communication device in communication with a server, and a processor that transmits at least one of route guidance information provided while the vehicle travels on a route to a destination or traffic information on the route, or any combination thereof to the server, and determines an output point of a pop-up image based on a weight reflecting at least one of an entry failure probability or the traffic information, or any combination thereof received from the server.