Vehicle Communication System Incidental Movement Detection
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Solution Overview
Problem
Vehicle communication systems face issues with energy consumption and unintended activation of vehicle functions due to incidental movements of mobile communication units, leading to unnecessary system exercise and delays in authentication processes.
Innovation Solution
The base station determines the location and movement patterns of the mobile communication unit using a time of flight method and applies zone adjustments to the authorization zone to exclude incidental patterns, inhibiting authorization when a predefined threshold of occurrences or rate is exceeded, thereby reducing energy consumption and preventing unintended activations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the base station emits a powerful LF electromagnetic field to awaken the mobile communication unit, then the authentication process can be initiated, but significant energy is consumed by the base station
Solution Approach 1:
The base station operates in sleep mode and awakens periodically or upon trigger events rather than continuously emitting LF fields. This periodic operation significantly reduces energy consumption while maintaining the ability to initiate authentication when needed.
Solution Approach 2:
The system detects movement patterns of the mobile communication unit before initiating the full authentication process. By preliminarily identifying approaching units through movement detection, the base station can prepare for authentication without immediately emitting powerful LF fields, thus reducing unnecessary energy consumption.
2Use of energy by stationary object
If the system uses an initiating trigger to awaken components, then energy consumption is reduced, but the authentication sequence must be performed within an extremely short time to avoid delays
Solution Approach 1:
The system performs movement pattern detection and preliminary authentication checks before the actual authentication sequence is required. This preliminary action allows the system to be pre-prepared, reducing the effective authentication time when the trigger event occurs while maintaining energy-efficient sleep mode operation.
Solution Approach 2:
The system continuously monitors movement patterns and provides feedback about the mobile communication unit's approach. This feedback mechanism allows the base station to anticipate authentication needs and adjust its operation accordingly, balancing energy consumption with response time requirements.
3Loss of time
If the system detects movement patterns to anticipate vehicle function desires, then perceived delay is reduced, but inadvertent activation of vehicle functions occurs due to incidental movements
Solution Approach 1:
The system learns from past movement patterns and automatically adjusts the authorization zone based on identified incidental patterns. This self-learning capability allows the system to distinguish between intentional approaches and incidental movements without requiring manual configuration, improving both response time and reliability.
Solution Approach 2:
The system dynamically adjusts the authorization zone parameters based on learned movement patterns. By changing the spatial parameters of the authorization zone to exclude areas where incidental movements occur, the system reduces false activations while maintaining quick response to legitimate approaches.
4Reliability
If the authorization zone is adjusted to exclude incidental movement patterns, then unintended activations are prevented, but the system complexity increases due to pattern recognition and zone adjustment mechanisms
Solution Approach 1:
The base station automatically learns and adapts to incidental movement patterns through continuous monitoring and analysis. This self-learning process eliminates the need for manual configuration of exclusion zones and reduces system complexity by using adaptive algorithms that automatically optimize the authorization zone based on observed patterns.
Solution Approach 2:
The system creates a digital model of incidental movement patterns based on observed data and uses this model to adjust the authorization zone. By working with simplified representations of movement patterns rather than complex real-time analysis, the system reduces computational complexity while maintaining high reliability in preventing unintended activations.
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 solution effectively reduces energy consumption and minimizes unintended vehicle function activations by accurately distinguishing between intentional and incidental movements, enhancing the efficiency and reliability of vehicle communication systems.
Implementation Method 1
The base station may be configured to determine at least one of the first location and the second location of the mobile communication unit relative to the vehicle based on a time of flight method
Data Source
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AI summary
A communication system comprises a base station (104) positioned in the vehicle (102) and a mobile communication unit (122). The base station (104) is configured to determine a first location and a second location of the mobile communication unit (122) relative to the vehicle (102), and to determine a baseline pattern of movement of the mobile communication unit (122) based at least in part on the first location and the second location. The base station (104) is also configured to determine whether a user-initiated interaction with the vehicle (102) occurs in connection with the baseline pattern of movement, and if no user-initiated interaction with the vehicle (102) occurs in connection with the baseline pattern of movement, to classify the baseline pattern of movement as an incidental pattern of movement and apply a zone adjustment to the authorization zone (138) so as to exclude to the incidental pattern of movement.