Vehicle Roll Angle Detection for On-Boarding and Off-Boarding Events
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Solution Overview
Problem
Current navigation and ride-hailing services face challenges in accurately detecting on-boarding and off-boarding events due to drivers not reporting or under-reporting rides, as existing methods relying on mobile device sensors are unreliable, especially when users turn off their devices or engage in activities that interfere with body motion analysis.
Innovation Solution
A system that retrieves and processes sensor data from a mobile device fixed in a vehicle to determine roll angle changes, using multiple sensors like accelerometers, gyroscopes, and magnetometers to identify transitions and determine on-boarding or off-boarding events, integrating data from various sources to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If body motion analysis is used to detect on-boarding/off-boarding events, then event detection can be performed using mobile device sensors, but the detection accuracy deteriorates when users turn off the application, leave the device in the vehicle, or move the device in sharp movements
Solution Approach 1:
The patent replaces body motion analysis with vehicle motion analysis. Instead of analyzing the rider's body movements through mobile device sensors, the system analyzes vehicle motion parameters (acceleration, velocity, position) obtained from vehicle sensors and mobile device sensors to detect on-boarding and off-boarding events. This substitution eliminates the reliability issues caused by user behavior while maintaining detection capability.
Solution Approach 2:
The patent introduces vehicle motion data as an intermediary to indirectly detect on-boarding/off-boarding events. Rather than directly measuring rider body motion, the system uses vehicle motion changes (which occur when riders enter or exit) as a mediator to infer these events. This intermediary approach resolves the contradiction by providing reliable detection without requiring direct rider movement analysis.
2Measurement precision
If vehicle sensors are used to detect on-boarding/off-boarding events, then detection accuracy improves, but the system complexity increases due to sensor accessibility requirements
Solution Approach 1:
The patent makes the mobile device serve multiple functions: it acts as both the user interface for the navigation application and a data collection device for vehicle motion analysis. By utilizing sensors already present in the mobile device (accelerometer, gyroscope, magnetometer) alongside vehicle sensors, the system achieves accurate event detection without requiring additional specialized sensors, thereby reducing system complexity.
Solution Approach 2:
The patent merges data from multiple sources including vehicle sensors, mobile device sensors, and navigation application data into a unified analysis system. This combination allows the system to leverage existing infrastructure from both the vehicle and mobile device, achieving high detection accuracy while avoiding the complexity of entirely new sensor systems.
3Reliability
If multiple sensors are integrated to improve detection reliability, then false positives and negatives are reduced, but the data processing complexity increases
Solution Approach 1:
The patent segments the detection process into distinct phases: data collection from multiple sensors, preliminary filtering of relevant vehicle motion data, and final event determination. By dividing the complex multi-sensor data processing into manageable segments, the system achieves high reliability through comprehensive data analysis while keeping processing complexity manageable through structured approach.
Solution Approach 2:
The patent performs preliminary filtering and selection of relevant vehicle motion data before final event detection. By pre-processing the multi-sensor data to identify and focus on motion patterns indicative of on-boarding/off-boarding events, the system reduces the complexity of subsequent analysis while maintaining high detection reliability through thorough initial data preparation.
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
The system effectively and accurately detects on-boarding and off-boarding events in real-time, reducing false positives and negatives by analyzing vehicle motion data, enabling precise event identification and passenger tracking, which can prevent fraudulent activities and improve billing accuracy.
Implementation Method 1
The system also comprises at least one accelerometer, and the roll angle data is based on data from the at least one accelerometer
Implementation Method 2
The system further comprises at least one gyroscope, and the roll angle data is based on data from the at least one gyroscope
Implementation Method 3
The system further comprises at least one magnetometer, and the roll angle data is based on data from the at least one magnetometer
Data Source
AI summary
An approach is provided for detecting an on-boarding or off-boarding event based on mobile device sensor data. The approach, for example, involves retrieving sensor data collected from at least one sensor of a mobile device that is fixed in a stationary position relative to a vehicle. The approach also involves processing the sensor data to determine roll angle data for the vehicle over a time window. The approach further involves processing the roll angle data to determine one or more transitions of a roll angle value of the vehicle between one or more value levels. The approach further involves determining an on-boarding event, an off-boarding event, or a combination thereof based on the one or more transitions. The approach further involves providing the on-boarding event, the off-boarding event, or a combination thereof as an output.