Autonomous Vehicle Stop Suggestions Based on User Preferences
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Solution Overview
Problem
Conventional autonomous vehicles lack the ability to suggest stops at suitable facilities based on user preferences or situations during navigation, leading to reduced user convenience and product quality.
Innovation Solution
An apparatus that processes user data to suggest suitable stops based on user tendencies and situations, providing notifications and guiding users to selected facilities on their driving path, with features like voice guides, text notifications, and vibration alerts, and distinguishing between personal and shared vehicle modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the autonomous vehicle provides basic navigation guidance, then the system complexity remains low, but user convenience is reduced due to lack of proactive stop suggestions
Solution Approach 1:
The system performs preliminary analysis of user profiles, historical data, and facility information before the journey to pre-calculate suitable stop locations. This allows the system to proactively suggest stops without requiring complex real-time processing, thereby improving user convenience while maintaining manageable system complexity
Solution Approach 2:
The system automatically analyzes user preferences and situational data to generate stop suggestions without requiring explicit user input for each parameter. The autonomous vehicle self-determines appropriate facilities based on integrated data processing, reducing the operational burden on users while implementing sophisticated recommendation logic
2Ease of operation
If the system suggests multiple facilities based on user tendency, then user convenience is improved, but information processing complexity increases
Solution Approach 1:
The system applies different analysis depths and suggestion strategies based on local characteristics of user profiles, facility types, and journey contexts. Rather than uniformly processing all data at maximum complexity, the system adapts its information processing to the specific local requirements of each user situation, improving convenience while managing processing complexity
Solution Approach 2:
The system dynamically adjusts processing parameters such as the number of suggested facilities, analysis depth, and data integration levels based on user preferences and situational constraints. This allows the system to optimize between providing comprehensive suggestions and maintaining manageable information processing complexity
3Reliability
If the autonomous vehicle integrates facility suggestion features, then product quality is improved, but device complexity increases
Solution Approach 1:
The system integrates facility suggestion capabilities into the existing autonomous vehicle navigation framework, allowing the same core system to perform both basic navigation and intelligent stop recommendations. This multi-functionality approach improves product quality by combining multiple features while avoiding the need for separate independent systems
Solution Approach 2:
The system merges facility data processing, user profile analysis, and navigation route planning into a unified decision-making framework. By combining these functions into a single integrated system rather than separate modules, the patent improves product quality through coordinated operation while managing overall device complexity
Data Source
AI summary
An apparatus for suggesting stopping by facilities includes a processor to suggest, as a stop, facilities, which are suitable for a user tendency or a user situation, of facilities positioned on a driving path of an autonomous vehicle, and a storage to store data and an algorithm executed by the processor. The processor provides, to a user, a list of the facilities suitable for the user tendency or the user situation, and adds facilities, which are selected by the user, to the stop on the driving path to guide to the driving path.