Dynamic POI Identification via Geo-fence Comparison
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Solution Overview
Problem
Existing vehicle navigation systems do not effectively identify and present relevant points of interest (POIs) to drivers in real-time as they travel, especially when temporary or special events are involved, and lack efficient pre-loading and presentation of POI information.
Innovation Solution
A system that uses vehicle coordinates to compare against geo-fence coordinates of POIs, receiving and presenting relevant information to occupants when within a predetermined distance, with pre-loading processes for efficient data retrieval and presentation, and integration with cloud servers for dynamic POI updates and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system continuously monitors and compares vehicle coordinates against all POI geo-fences in real-time, then the relevance and timeliness of POI information is improved, but the computational load and energy consumption increase
Solution Approach 1:
The system pre-loads POI information and geo-fence coordinates into local memory before the vehicle reaches those locations. This preliminary action allows the real-time coordinate comparison to operate on a limited, pre-fetched dataset rather than continuously querying all POIs, significantly reducing computational load and energy consumption while maintaining accurate POI identification.
Solution Approach 2:
The system focuses computational resources on POIs that are geographically relevant to the vehicle's current location and travel route. By filtering and prioritizing POIs in the local area rather than processing all POIs globally, the system achieves accurate local POI identification with minimized energy expenditure.
2Speed
If the system pre-loads all POI information into memory, then the data retrieval speed is improved, but the memory usage and data management complexity increase
Solution Approach 1:
The system pre-loads POI information selectively based on the vehicle's current location, destination, and planned route. Rather than loading all POIs, it anticipates which POIs will be relevant and pre-fetches only those into memory, achieving fast data retrieval while keeping memory usage and data management complexity manageable through intelligent pre-selection.
Solution Approach 2:
The POI database is segmented into multiple partitions or zones based on geographic location. The system loads only the relevant segment corresponding to the vehicle's current area into memory, enabling fast retrieval of local POIs while avoiding the complexity and memory burden of loading the entire POI database at once.
3Loss of information
If the system filters and prioritizes POIs based on user preferences and route information, then the relevance of presented information is improved, but the processing time and computational resources increase
Solution Approach 1:
The system pre-processes and filters POI information based on stored user preferences, vehicle type, and typical route patterns before the vehicle reaches the relevant area. This preliminary filtering creates a pre-sorted list of relevant POIs, so that when the vehicle approaches, the system only needs to match current coordinates against this already-filtered list, minimizing real-time processing time while maintaining high information relevance.
Solution Approach 2:
The filtering and prioritization process is optimized for the local context of the vehicle's current location and immediate route. Rather than applying complex global filtering algorithms to all POIs, the system applies simplified, context-aware filtering rules to local POIs, achieving relevant information delivery with minimal processing time.
Data Source
AI summary
A system includes a processor configured to receive vehicle coordinates. The processor is also configured to compare the vehicle coordinates to geo-fence coordinate sets of a plurality of geo-fences surrounding point of interest (POI), wherein at least a portion of each geo-fence is within some predetermined distance from the vehicle coordinates. The processor is further configured to receive information relating to the POI if the vehicle coordinates fall within the geo-fence coordinates and instruct presentation of the received information to vehicle occupants.