Navigation System Automatic Scenario Switching
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Solution Overview
Problem
Traditional navigation technologies are inefficient in handling multiple navigation scenarios, requiring users to manually switch between scenarios and rely on multiple data network accesses, leading to increased bandwidth and resource usage, especially as the number of scenarios increases.
Innovation Solution
A navigation method and apparatus that obtain route information for multiple sequential navigation scenarios, determine target route information, and automatically switch between scenarios based on a predefined sequence, providing route guidance using current positioning and target route information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional navigation technologies are used to handle multiple navigation scenarios, then navigation can be provided for each scenario, but navigation efficiency deteriorates due to repeated manual switching and multiple network accesses
Solution Approach 1:
The patent applies preliminary action by obtaining complete route information for multiple sequential navigation scenarios in advance, before the user actually needs to navigate. The system pre-fetches and stores route information for all anticipated scenarios (e.g., driving, walking, cycling segments) so that when navigation is needed, the information is already available locally, eliminating the need for repeated network accesses and manual scenario switching.
Solution Approach 2:
The patent merges multiple navigation scenario handlers into a unified navigation system that can manage multiple scenarios simultaneously. Instead of treating each navigation scenario (driving, walking, cycling) as separate operations requiring individual network calls, the system combines them into a single integrated navigation process that handles all scenarios with one initial network access and unified route information set.
2Adaptability or versatility
If multiple navigation scenarios are handled separately with repeated network accesses, then each scenario can be navigated, but bandwidth consumption and resource usage increase
Solution Approach 1:
The system performs preliminary action by obtaining complete route information for all multiple navigation scenarios in a single initial network access. This pre-fetching strategy ensures that when the user needs to switch between different navigation scenarios (driving, walking, cycling), the route information is already cached locally, eliminating repeated network accesses and reducing bandwidth consumption while maintaining full adaptability to handle any scenario.
Solution Approach 2:
The patent implements universality by creating a multi-functional navigation system that can handle multiple navigation scenarios (driving, walking, cycling, etc.) through a single unified interface and data structure. The system obtains route information that is universally applicable across all scenarios, allowing the same navigation engine to serve multiple purposes without requiring separate network accesses or specialized handlers for each scenario type.
3Ease of operation
If traditional navigation requires manual switching between scenarios, then users can control navigation, but operation complexity and user burden increase
Solution Approach 1:
The patent applies self-service by enabling the navigation system to automatically detect when a user has arrived at a scenario transition point and autonomously switch to the next navigation scenario without requiring manual user intervention. The system monitors user position, determines when current navigation scenario is complete, and automatically initiates the next scenario using pre-obtained route information, thereby simplifying user operation while managing the complexity of multi-scenario coordination internally.
Solution Approach 2:
The navigation system implements feedback by continuously monitoring user position and navigation progress to automatically determine when to transition between scenarios. The system provides feedback to the user about upcoming scenario changes and automatically switches scenarios based on real-time position data, creating a closed-loop control system that reduces manual operation complexity while maintaining ease of use.
Data Source
AI summary
A navigation method and apparatus, a computer device, and a storage medium. The method includes: obtaining route information of a target route corresponding to a target start point and a target end point to obtain a route information set, where the target route corresponds to at least two sequential navigation scenarios; determining target route information based on the route information set; and switching a navigation scenario based on a sequence corresponding to each navigation scenario and providing route guidance in each navigation scenario according to obtained route guidance information, where the route guidance information is determined through route guidance according to a current positioning point and the target route information.


