Vehicle Approach Detection Using Magnetic Orientation Vectors
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Solution Overview
Problem
Existing keyless access systems for transportation vehicles face challenges in accurately determining the orientation and direction of a person approaching the vehicle, requiring high computing power and complex methods that are not energy-efficient and can only provide distance information without directional guidance.
Innovation Solution
A method using magnetic orientation detection combined with keyless data from devices like Bluetooth, WLAN, or ISM band, and optionally UWB ranging, to determine a directional vector between the person and the vehicle, allowing for precise control of keyless functions with reduced computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex methods with high computing power are used to determine orientation and direction, then measurement precision is improved, but use of energy increases and device complexity increases
Solution Approach 1:
The determination process is segmented into two independent parts: distance determination using keyless data (radio signals) and orientation determination using sensor data (acceleration sensor, gyroscope, magnetic field sensor). This segmentation allows each part to use the most energy-efficient method for its specific function, avoiding the need for high-power computing to process all data together.
Solution Approach 2:
The patent replaces complex computational methods with a simpler mathematical approach. Instead of using high-power algorithms to simultaneously determine distance and orientation from radio signal data, the system uses straightforward vector calculation combining independently determined distance and orientation components, significantly reducing computing power and energy consumption.
2Measurement precision
If complex methods with high computing power are used to determine orientation and direction, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system architecture is segmented into distinct functional modules: a receiving unit for keyless data, a sensor unit for orientation data, and a determination unit that combines these inputs. This modular segmentation simplifies the overall system design and reduces complexity compared to a monolithic high-power computing approach.
Solution Approach 2:
The determination unit performs multiple functions using a unified approach: it determines both distance and orientation by combining keyless data and sensor data through vector calculation. This multi-functionality reduces the need for separate complex processing systems for each parameter.
3Device complexity
If keyless data alone is used for distance determination, then device complexity is reduced, but measurement precision is insufficient without directional information
Solution Approach 1:
The patent merges two data sources with complementary strengths: keyless data (providing distance information with simple hardware) and sensor data (providing orientation information). By combining these through vector calculation, the system recovers the directional guidance information that would be lost if only keyless data were used.
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
Enables energy-efficient, precise, and robust keyless access by determining the directional vector, allowing for accurate control of vehicle functions such as door opening and flap operation, with reduced computing power and improved reliability.
Implementation Method 1
transmitting a radio signal from a first antenna of the transportation vehicle; transmitting a second radio signal from a second antenna of the transportation vehicle
Implementation Method 2
detecting an orientation of a device guided by the person and generating sensor data with information on the orientation of the device
Data Source
AI summary
A method for determining an approach of a person toward a transportation vehicle, a computer program, an apparatus, and a system. In response to UWB technology or other radio-based distance systems being used for the Kessy access, the distance information relating to a user is gathered. In response to the access device containing an acceleration sensor, the movement sequence relating to the distance information is analyzed. The magnetic orientation of a transportation vehicle is known when the transportation vehicle is parked, and this information is included in the analysis. In the course of the calculation, directional vectors are included in the approach detection, and the individual positions are easily calculated.