Predictive Destination Entry for Vehicle Navigation
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Solution Overview
Problem
Current vehicle navigation systems require manual destination entry, which is time-consuming and distracting for drivers, especially when entering unfamiliar or lengthy addresses, and diverts attention from the road environment.
Innovation Solution
A predictive navigation system that uses a processor, memory, and sensors to anticipate destinations based on historical driving data, user profiles, and vehicle characteristics, allowing for automatic destination prediction and route generation without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual destination entry is used, then the navigation system can accurately direct to any destination, but the driver's attention is diverted from the road and time is consumed
Solution Approach 1:
The system performs preliminary actions by storing historical destination data and analyzing driving patterns in advance. When the vehicle is operating, the system has already processed and prepared predictive destination suggestions based on past behavior, eliminating the need for real-time manual input during driving.
Solution Approach 2:
The navigation system serves itself by automatically learning from historical data and generating destination predictions without requiring driver intervention. The system uses stored destination information and sensor data to autonomously suggest destinations, making the driver unnecessary for the destination entry task.
2Adaptability or versatility
If manual destination entry is used, then the navigation system can direct to unfamiliar destinations, but driver safety is compromised due to distraction
Solution Approach 1:
The system autonomously analyzes sensor data, historical destinations, and current context to generate predictions without requiring driver interaction. This self-service capability maintains safety by eliminating the need for the driver to manipulate controls while the vehicle is in motion.
Solution Approach 2:
The system continuously receives feedback from sensors (location, speed, time) and historical data to refine destination predictions. This feedback loop allows the system to adapt to the driver's actual behavior patterns while maintaining safety by keeping the driver's attention on the road.
3Reliability
If predictive destination entry is used, then driver attention remains on the road, but the system complexity increases
Solution Approach 1:
The system leverages existing multi-functional components (GPS sensors already present for location tracking, historical data storage for route optimization) to perform predictive destination entry. By reusing existing infrastructure for multiple purposes, the patent avoids adding significant complexity while achieving predictive functionality.
4Loss of time
If predictive destination entry is used, then manual input time is reduced, but the ability to enter unfamiliar destinations is limited
Solution Approach 1:
The system performs partial action by providing predictive suggestions for the most likely destinations based on historical patterns. For unfamiliar destinations outside the prediction set, the system allows traditional manual input methods, combining predictive efficiency for common destinations with full versatility for rare destinations.
Data Source
AI summary
A predictive destination entry system for a vehicle navigation system to aid in obtaining a destination for the vehicle. The navigation system utilizes a memory for storing data relating to prior driving history or habits. A processor connected with the memory examines the information stored in the memory for making predictions for the current destination desired by a user of the vehicle. The information stored in the memory may be segregated into distinct user profiles and may include the vehicle location, previous driving history of the vehicle, previous searching history of a user of the vehicle, or sensory input relating to one or more characteristics of the vehicle. The navigation system may either confirm the predicted destination with the user of the vehicle before generating or displaying a travel route to the predicted destination or may automatically generate and display the travel route without verifying the destination with the user.