Composite Navigation Device Automatic Mode Switching
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Solution Overview
Problem
Existing navigation systems require users to manually switch between car and pedestrian modes, leading to increased costs and potential incorrect route guidance due to the need for separate devices and manual selection.
Innovation Solution
A composite navigation device that automatically selects between car navigation and pedestrian navigation, or uses both in combination, by employing a Pedestrian Dead Reckoning (PDR) algorithm and GPS satellite data to calculate and correct user location without user intervention, utilizing a controller and filter unit to manage navigation algorithms based on GPS signal strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a composite navigation device includes both car navigation system and pedestrian navigation system, then the device can provide both navigation modes, but the user must manually switch between modes which increases operation complexity and may lead to incorrect mode selection
Solution Approach 1:
The navigation device automatically detects whether the user is a pedestrian or driver and selects the appropriate navigation mode without manual intervention. The controller executes navigation algorithms based on detected user type, enabling the system to serve itself by automatically configuring the correct navigation mode.
Solution Approach 2:
The system dynamically switches between car navigation mode and pedestrian navigation mode based on real-time detection of user characteristics. The navigation mode is not fixed but adapts dynamically according to the detected user type, allowing seamless transition between modes.
2Measurement precision
If separate navigation devices are provided for car and pedestrian navigation, then each navigation algorithm can be optimized, but the user must purchase multiple devices increasing cost and reducing portability
Solution Approach 1:
The patent combines both car navigation system and pedestrian navigation system into a single integrated navigation device. The controller includes both navigation algorithms and automatically selects the appropriate one based on user detection, eliminating the need for separate devices while maintaining optimization of each navigation algorithm.
Solution Approach 2:
The navigation device is designed to perform multiple functions by incorporating both car navigation and pedestrian navigation capabilities. A single device serves universal navigation needs for different user types, making the device adaptable to various usage scenarios without requiring multiple specialized devices.
3Ease of operation
If manual mode selection is required, then the user has control over navigation mode, but incorrect selection may lead to incorrect route guidance reducing reliability
Solution Approach 1:
The system uses sensors to detect user characteristics (such as movement patterns, height, or device handling behavior) and provides feedback to the controller to automatically determine the correct navigation mode. This feedback mechanism ensures reliable mode selection based on actual user conditions rather than manual input.
Solution Approach 2:
The navigation device automatically detects the user type and configures the appropriate navigation mode without requiring manual user input. This self-service approach eliminates errors caused by incorrect manual selection while maintaining user control through automatic adaptation to detected conditions.
Data Source
AI summary
A method and apparatus for detecting location information using a navigation algorithm are provided. The method includes searching for neighboring Global Positioning System (GPS) satellites, receiving, if at least one GPS satellite is detected, pseudo-range information from at least one of the detected GPS satellites and storing the received pseudo-range information, calculating a displacement of a pedestrian terminal based on step detection of a pedestrian, correcting the calculated displacement of the pedestrian terminal using the received pseudo-range information, and measuring the location of the pedestrian terminal is measured using the corrected displacement.