Smartphone Sensor Fusion for Pedestrian Crossing Prediction
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Solution Overview
Problem
Existing electronic apparatuses lack efficient methods to determine user movement and predict pedestrian behavior at intersections, leading to ineffective communication between pedestrians and vehicles.
Innovation Solution
A smartphone-based system that uses acceleration and air-pressure sensors to determine user movement and predict pedestrian behavior, sending notifications to roadside units based on air-pressure changes to inform vehicles of potential pedestrian crossings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If notifications are sent frequently to inform vehicles of pedestrian presence, then vehicle-pedestrian communication is enhanced, but unnecessary notifications increase reducing system efficiency
Solution Approach 1:
The system changes the parameter of notification sending by using air pressure sensor data to detect pedestrian approach and dynamically control when notifications are sent. This resolves the contradiction by making notifications context-dependent rather than frequent or random, improving both reliability and efficiency.
Solution Approach 2:
The system replaces traditional mechanical or manual detection methods with sensor-based detection (acceleration and air pressure sensors). This substitution enables automatic, accurate detection of pedestrian movement and intent, allowing the system to send notifications only when truly necessary, thus improving communication effectiveness while reducing unnecessary notifications.
2Reliability
If the system sends notifications without accurate movement detection, then communication coverage is increased, but false notifications increase reducing trust
Solution Approach 1:
The system performs preliminary detection and analysis of pedestrian movement patterns using acceleration and air pressure sensors before sending notifications. By predicting pedestrian intent in advance based on movement data, the system ensures notifications are sent only when accurate and necessary, improving both notification accuracy and behavior prediction reliability.
Solution Approach 2:
The system uses feedback from sensor data (acceleration and air pressure changes) to continuously monitor and adjust notification sending decisions. This feedback mechanism ensures that notifications are based on accurate real-time pedestrian behavior data, improving reliability while maintaining accurate behavior prediction.
3Measurement precision
If multiple sensors are used to accurately detect pedestrian movement, then detection precision is improved, but device complexity increases
Solution Approach 1:
The system uses a smartphone with existing sensors (acceleration and air pressure sensors) that serve multiple functions. These sensors are not dedicated solely to pedestrian detection but are part of the smartphone's general functionality. This multi-functionality approach improves measurement precision without significantly increasing device complexity, as the sensors already exist in the smartphone.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system effectively reduces unnecessary notifications by accurately determining pedestrian movement and behavior, enhancing vehicle-pedestrian communication and improving safety at intersections.
Implementation Method 1
determines whether a user is moving in a predetermined movement manner based on an acceleration value as a detection result of the accelerometer (15). If the controller (10) determines that the user is moving in the predetermined movement manner, the controller (10) detects approach of the user to an intersection, based on a change in an air-pressure value as a detection result of the air-pressure sensor (19)
Implementation Method 2
determines whether a user is moving in a predetermined movement manner based on an acceleration value as a detection result of the accelerometer (15)
Data Source
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AI summary
An electronic apparatus comprises an accelerometer configured to detect an acceleration value, an air-pressure sensor configured to detect an air-pressure value, a communication unit configured to receive information for recognizing approach of a user of the electronic apparatus to an intersection, and a controller configured to determine whether the user of the electronic apparatus is moving in a predetermined movement manner based on the acceleration value. The controller performs determination processing of determining whether probability that the user will move on a road at the intersection after the user approaches the intersection is high based on change in the air-pressure value if the controller detects approach of the user to the intersection when the user is moving in a predetermined movement manner. The controller sends a notification that the user will move on the intersection to a roadside unit if the probability that the user will move on a road at the intersection is high as a result of the determination processing. The controller does not send a notification that the user will move on the intersection to a roadside unit if the probability that the user will move on a road at the intersection is not high as a result of the determination processing.