Vehicle Navigation System Integrating Sensor Data for Route Optimization
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Solution Overview
Problem
Conventional vehicle navigation systems fail to effectively combine and utilize data from various sources to provide the most efficient and safe navigation routes, leading to increased operator distraction and potential safety risks due to the complexity of information from vehicle sensors, GPS, and external conditions.
Innovation Solution
A personalized smart navigation system that integrates data from multiple sources, including vehicle sensors, GPS, weather, and driver conditions, to determine an optimized path that prioritizes safety and efficiency, using distributed data mining and communication with external devices to provide real-time guidance to operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS navigation systems provide detailed information from multiple data sources, then navigation accuracy is improved, but operator distraction increases
Solution Approach 1:
The patent segments the complex navigation information into distinct functional categories: route guidance information, vehicle status information, and environmental information. Each segment is processed and presented separately through appropriate channels (visual, auditory, haptic), preventing information overload while maintaining comprehensive navigation accuracy.
Solution Approach 2:
The patent introduces an intermediary processing layer between multiple data sources and the operator. This intermediary selectively filters, prioritizes, and formats information based on relevance and urgency, transforming raw data from GPS, sensors, and external sources into concise, actionable guidance that reduces operator cognitive load while preserving navigation precision.
2Reliability
If vehicle sensors collect comprehensive operational data, then diagnostic capability is improved, but information complexity increases
Solution Approach 1:
The patent extracts only the most relevant diagnostic information from comprehensive sensor data streams. Rather than presenting all raw sensor readings, the system identifies and extracts key parameters indicating vehicle status, faults, and performance metrics, separating essential diagnostic content from redundant data to reduce information complexity while maintaining diagnostic reliability.
Solution Approach 2:
The patent transforms complex multi-parameter sensor data into simplified status indicators and actionable alerts. By changing the representation parameters from raw numerical sensor values to categorical status levels (normal, warning, critical) and contextualized messages, the system preserves comprehensive diagnostic capability while significantly reducing the perceived information complexity for operators.
3Productivity
If navigation system integrates multiple data sources, then route optimization is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple data sources (GPS location, vehicle sensors, weather data, traffic information) into a unified navigation decision-making framework. By integrating these diverse inputs through a centralized processing architecture that applies consistent algorithms and priority rules, the system achieves superior route optimization while managing complexity through standardized data fusion protocols and modular system design.
Data Source
AI summary
Embodiments are generally directed to personalized smart navigation for motor vehicles. An embodiment of a smart navigation system for a motor vehicle includes a plurality of sensors of the motor vehicle to detect internal conditions, external conditions, or both for a motor vehicle; a controller to receive sensor data from the plurality of sensors, the sensor data including vehicle condition data, external conditions data, or both; and a navigation system to determine a route for an operator of the motor vehicle. Determination of the route by the navigation system is based at least in part on current conditions data received from a plurality of sources, the current conditions data including the navigation data for the navigation system and sensor data from the plurality of sensors.