Adaptive IMU and Laser Scanner Fusion for GPS-Denied Mapping
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Solution Overview
Problem
Existing mapping and navigation systems face challenges in GPS-denied environments, where inertial navigation systems struggle to provide accurate results, especially in featureless or dynamic environments, leading to inaccuracies in map generation.
Innovation Solution
An adaptive mapping and positioning system that combines an inertial measurement unit (IMU) and a laser scanner, with a control unit that classifies environments and adjusts processing to balance the reliance on both components, using algorithms to adaptively treat challenging environments by increasing reliance on the IMU in featureless areas and laser scanning in others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inertial navigation is used as a substitute for GPS in GPS-denied environments, then positioning capability is maintained, but measurement precision deteriorates in featureless or dynamic environments
Solution Approach 1:
The patent combines inertial navigation data with laser scanner data into a unified mapping and positioning system. The inertial measurement unit (IMU) provides continuous positioning information while the laser scanner provides environmental feature data, and their integration compensates for the weaknesses of each individual system in GPS-denied environments
Solution Approach 2:
The system dynamically adjusts the weighting and reliance on inertial navigation versus laser scanning based on environmental conditions. In featureless environments where laser scanning struggles, the system increases reliance on inertial navigation, and vice versa, optimizing positioning accuracy adaptively
2Measurement precision
If laser scanning is used for map generation in GPS-denied environments, then measurement precision improves in feature-rich areas, but device complexity increases due to balancing multiple sensors
Solution Approach 1:
The control unit serves multiple functions: it processes inertial navigation data, processes laser scanner data, classifies environmental features, and dynamically adjusts sensor weighting. This multi-functionality is managed within a single integrated system architecture that handles both positioning and mapping tasks
Solution Approach 2:
The system changes processing parameters dynamically based on environmental classification. The control unit adjusts the weighting factors for inertial versus laser data, modifies processing algorithms based on feature density, and adapts the fusion strategy according to the specific environmental context
3Measurement precision
If increased reliance is placed on inertial navigation in featureless environments, then measurement precision improves, but loss of information increases due to drift accumulation
Solution Approach 1:
The system implements feedback mechanisms where the control unit continuously monitors the quality and consistency of data from both inertial sensors and laser scanners. When drift is detected in inertial navigation, the system adjusts by incorporating laser scanner corrections, and when laser data is unreliable, it uses inertial predictions with appropriate uncertainty modeling
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 accurate real-time map generation and navigation in GPS-denied environments by effectively combining inertial and laser-based data, reducing errors and improving map accuracy over larger distances and in complex settings.
Implementation Method 1
an inertial measurement unit (IMU) module configured to monitor movement of the apparatus through an environment
Implementation Method 2
The scanner module may be configured to employ laser scanning to determine distances to objects or boundaries in the environment
Data Source
AI summary
A mapping and positioning apparatus may include an IMU module for monitoring movement through an environment, a scanner module, and a control unit. The IMU module is configured to monitor movement on the basis of detecting steps taken by a transporter. The scanner module may be configured to employ laser scanning to determine distances to objects or boundaries in the environment as the transporter moves the apparatus through the environment. The control unit may be configured to receive data from at least the IMU module and the scanner module and make an environmental determination to classify the environment. The control unit may be configured to generate map data based on the data received from the IMU module and the scanner module. The control unit may be configured to adaptively adjust processing of the data received from the IMU module and the scanner module based on a classification of the environment.