Real-scenario Navigation Switching Map to Image Path Planning
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Solution Overview
Problem
Existing navigation systems often fail to accurately meet users' travel intentions as they rely solely on query starting and finishing points, leading to inefficiencies and reduced reliability, especially when users need to switch travel modes after reaching the finishing point.
Innovation Solution
A real-scenario navigation method that performs map-based path planning based on user-input travel manner, starting point, and finishing point, and then switches to image-based planning when the distance to the destination is within a preset threshold, incorporating the user's actual destination for more accurate navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation operations are performed completely depending on query starting point and query finishing point, then the navigation system is simple to operate, but the navigation information may not satisfy the user's real travel intention
Solution Approach 1:
The system performs preliminary path planning based on map data using the query starting point and query finishing point. This preliminary plan serves as a foundation that can be later adjusted with real-scenario image data to better match user intentions, without requiring the user to manually specify all navigation parameters
Solution Approach 2:
Real-scenario images serve as an intermediary between the simple query points and the complex navigation requirements. The images provide contextual information about the actual destination environment, enabling the system to infer user intentions and adjust the navigation path accordingly without increasing operational complexity for the user
2Adaptability or versatility
If the user repeatedly performs query operations to switch travel manners, then the navigation can adapt to different travel intentions, but the data interaction between application and query engine increases
Solution Approach 1:
The system performs preliminary path planning for multiple travel manners in advance based on the initial query points. When the user reaches the query finishing point, the system already has pre-computed alternative paths ready, allowing quick switching without requiring repeated query operations that would burden the query engine
Solution Approach 2:
The system uses feedback from the user's travel progress (detecting when the user reaches the query finishing point) to automatically trigger subsequent path planning for the next travel manner. This feedback mechanism enables adaptive navigation without requiring the user to initiate new queries, reducing interaction frequency while maintaining versatility
3Area of stationary object
If map-based path planning is used for long distances, then the navigation covers large areas, but real-scenario image-based planning is needed for short distances to improve accuracy
Solution Approach 1:
The navigation process is segmented into two phases: long-distance navigation using map-based path planning for broad coverage, and short-distance navigation using real-scenario image-based planning for high precision. The transition between phases occurs automatically when the distance threshold is reached, allowing the system to optimize for coverage area or precision depending on the current navigation stage
Solution Approach 2:
The system transitions from a two-dimensional map-based representation to a three-dimensional real-scenario image-based representation as the user approaches the destination. This dimensional change enables more precise localization and path guidance in the final approach phase, complementing the broader coverage provided by map-based planning
Data Source
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Figure 3
AI summary
The present disclosure provides a real scenario navigation method and apparatus, a device and a computer readable storage medium. In the embodiments of the present disclosure, it is feasible to obtain the travel manner, the query starting point, the query finishing point and the destination provided by the user, and then perform navigation map-based first travel manner path planning, according to the travel manner, the query starting point and the query finishing point so that it is feasible to perform real-scenario image-based second travel manner path planning, according to the query finishing point and the destination, if the user reaches the query finishing point and a distance between the query finishing point and the destination is smaller than or equal to a preset distance threshold. Since the navigation operations are performed not completely depending on the query end points, namely, the query starting point and the query finishing point any more, and the navigation operations are performed in conjunction with the destination additionally provided by the user, the obtained navigation information can substantially satisfy the user's travel intention, namely, the user, after reaching the query finishing point, needs to further switch to another travel manner to go to the destination, thereby improving navigation efficiency and reliability.