Electronic Device Road Crossing Detection via Trajectory Analysis
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Solution Overview
Problem
Conventional electronic devices lack effective methods to notify users and external systems when a user is approaching a road, especially in situations where the device's position data and movement trajectory indicate a potential crossing, which can lead to safety concerns.
Innovation Solution
An electronic device equipped with a processor that generates movement trajectory information based on user position data and acquires map data to detect when a user is approaching a road, triggering notifications to the user or external systems, such as roadside devices, to alert for potential crossings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional electronic devices simply notify users at predetermined timings, then the notification system is simple and low-cost, but it cannot effectively detect or respond to dynamic situations where users are approaching roads
Solution Approach 1:
The system performs preliminary actions by continuously acquiring position information and generating movement trajectory data before the user actually reaches the road. This allows the device to predict potential road crossing situations in advance and prepare notifications, improving safety response time without requiring complex real-time processing at the critical moment
Solution Approach 2:
The patent introduces map data as an intermediary element that mediates between raw position information and road crossing detection. By overlaying trajectory data with map information about road locations, the system can accurately detect potential crossings without directly complex sensor fusion, simplifying the overall detection architecture while maintaining high reliability
2Measurement precision
If the device continuously monitors position data and analyzes trajectories to detect road approaches, then detection accuracy improves, but energy consumption increases
Solution Approach 1:
The system implements periodic action by acquiring position information at predetermined intervals rather than continuously. This allows the device to maintain adequate detection accuracy for road crossing situations while significantly reducing energy consumption compared to continuous monitoring, finding an optimal balance between precision and power usage
Solution Approach 2:
The patent applies partial action by focusing computational resources only on analyzing trajectory data when it indicates potential road crossing situations, rather than processing all position data uniformly. This selective approach maintains high detection accuracy for critical events while minimizing unnecessary energy expenditure on non-critical periods
3Adaptability or versatility
If the device notifies external systems such as roadside devices, then communication capability and safety management improve, but system integration complexity increases
Solution Approach 1:
The notification function is designed with universality to work with multiple types of external systems (roadside devices, traffic signal systems, mobile platforms) through a standardized interface. This allows the device to maintain high adaptability and communication capability across different external systems without proportionally increasing integration complexity, as the same core notification mechanism serves multiple purposes
Data Source
AI summary
Provided is an electronic device including a storage configured to store map data, and at least one processor configured to generate information indicating a trajectory of a user's movement based on a transition of a position of the user of the electronic device. The at least one processor is further configured to acquire the map data corresponding to a current position of the user, and execute at least one of notification to the user and notification to outside when it is detected that the user is to cross a road based on a positional relationship between a position of the road on a map specified from the acquired map data and the trajectory of the user's movement.