Vehicle Positioning via Fixed Sensor Fusion in Mapped Environments
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Solution Overview
Problem
Current vehicle positioning systems lack the precision needed for reliable autonomous driving, particularly in narrow or difficult-to-navigate environments, such as multi-storey car parks, due to insufficient accuracy in determining the vehicle's position within its surroundings.
Innovation Solution
A method utilizing a sensor device with multiple position detection sensors, including lidar sensors, to create a global sensor coordinate system, where the position data of vehicle components like tires are tracked and fused in real-time, enabling precise vehicle localization within mapped environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensor systems are used for vehicle positioning, then the system complexity remains manageable, but the positioning precision is insufficient for reliable autonomous driving in narrow environments
Solution Approach 1:
The patent combines multiple position detection sensors (including lidar sensors) into a single integrated sensor device that is fixedly arranged within the mapped environment. This merging approach achieves high-precision vehicle positioning by fusing data from multiple sensors while managing system complexity through centralized coordination rather than distributed individual sensor systems.
Solution Approach 2:
The patent introduces a coordinate system transformation mechanism that acts as an intermediary between the sensor device's measurement space and the vehicle's navigation space. By transforming sensor data through coordinated coordinate systems, the system achieves precise positioning without requiring direct complex interactions between multiple independent sensors and the vehicle control system.
2Reliability
If multiple position detection sensors are deployed to improve positioning accuracy, then the positioning reliability increases, but the device complexity and cost increase
Solution Approach 1:
The patent merges multiple position detection sensors including lidar sensors into a single fixedly arranged sensor device. This combination improves positioning reliability by utilizing data from multiple sensors simultaneously while managing complexity through a unified sensor device architecture rather than multiple independent systems.
Solution Approach 2:
The sensor device is designed with multi-functionality, serving as both a position detection system and a reference frame provider through its fixed arrangement within the mapped environment. This universal approach allows the same sensor device to perform multiple functions (position detection, coordinate transformation, environmental mapping) thereby improving reliability without proportionally increasing complexity.
3Speed
If real-time position data fusion is implemented, then the response speed to obstacles improves, but the computational complexity increases
Solution Approach 1:
The patent establishes a fixed coordinate system and transforms sensor data into this pre-defined reference frame in real-time. By preparing the coordinate transformation framework in advance and maintaining a fixed reference system, the system enables rapid position data fusion without requiring complex real-time coordinate system adjustments, thus improving obstacle response speed while managing computational complexity.
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 approach allows for high-precision vehicle positioning and control, reducing the risk of collisions and enabling reliable autonomous driving and parking by providing immediate reaction to obstacles and accurate position determination within the mapped environment.
Implementation Method 1
A method utilizing a sensor device with multiple position detection sensors, including lidar sensors
Data Source
AI summary
The invention relates to a method for determining a vehicle position of a vehicle to be located within a defined cruising range in a mapped environment, wherein the vehicle position is determined by evaluating the position data of at least one predetermined component of the vehicle, and the position data are made available particularly by way of a plurality of position detecting sensors, which are fixedly arranged within the mapped environment. The invention further relates to a corresponding device for determining a position of a vehicle. This allows piloted driving in a parking garage, for example.