Vehicle Driving Guide System Prioritizing Sensor Data
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Solution Overview
Problem
Current vehicle navigation systems lack the ability to provide real-time, synthetic guidance on traffic situations surrounding the vehicle, relying on separate sensors for warnings without integrated analysis and prioritization of driving data.
Innovation Solution
A vehicle system that integrates data from various sensors, prioritizes driving information, and provides voice guidance in a scenario format, distinguishing between static and dynamic situations based on distance and importance, using a driving guide system that includes radar, ultrasound, vehicle speed, and GPS sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If multiple separate sensors and warning systems are used to monitor driving situations, then the ability to detect various driving situations is improved, but the system complexity and lack of integrated analysis worsens
Solution Approach 1:
The patent combines multiple separate sensors (radar, ultrasound, imaging devices, GPS) and their respective warning systems into a single integrated driving guide system. This system centrally processes all sensor inputs, performs unified analysis, and generates coordinated warnings, thereby maintaining comprehensive detection capability while reducing system complexity through integration.
Solution Approach 2:
The driving guide system is designed as a multi-functional platform that handles detection, analysis, prioritization, and warning generation for multiple types of driving situations simultaneously. It processes static situations (traffic signs, congestion) and dynamic situations (moving vehicles, pedestrians) through a single universal system rather than separate dedicated systems.
2Loss of information
If all driving situation data is provided to the driver simultaneously, then the completeness of information is improved, but the ease of operation and driver attention worsens
Solution Approach 1:
The patent segments driving situation data into distinct categories: static situations (traffic signs, congestion, construction) and dynamic situations (moving vehicles, pedestrians, animals). Each category is processed and prioritized separately, allowing the system to manage information complexity while maintaining completeness. The segmentation enables organized presentation of information rather than overwhelming the driver with undifferentiated data.
Solution Approach 2:
The system dynamically prioritizes and sequences the presentation of driving situation data based on urgency, distance, and relevance. Rather than providing all information simultaneously, it adjusts the order and timing of warnings according to current driving conditions, making the information delivery adaptive to the driver's immediate needs and the evolving situation.
3Measurement precision
If real-time analysis and prioritization of all sensor data is performed, then the accuracy of guidance information is improved, but the energy consumption and processing requirements worsen
Solution Approach 1:
The system performs preliminary classification of sensor data into static and dynamic situations as data is received, before full analysis. This preliminary sorting allows subsequent processing to focus on relevant data categories with appropriate analysis depth, reducing overall processing requirements while maintaining accuracy for critical situations.
Solution Approach 2:
The patent applies different processing intensities to different data categories based on their characteristics and urgency. Dynamic situations (moving objects, immediate hazards) receive higher priority and more intensive real-time analysis, while static situations (traffic signs, congestion) are processed with appropriate but reduced intensity. This localized quality approach optimizes energy use by matching processing resources to situational needs.
Data Source
AI summary
A vehicle and a method of controlling the vehicle using voice guidance is provided. The vehicle includes a body that defines an appearance of the vehicle and a vehicle sensor that is configured to sense various driving-related situations of the vehicle. A driving guide system is then configured to analyze vehicle driving data including vehicle sensing information received form the vehicle sensor and driving-related information and prioritize the vehicle driving data. In addition, the driving guide system is configured to generate driving guide information in a scenario format based on a priority and output the driving guide information by voice guidance.