Indoor Navigation Mapping for Dynamic Obstacle Avoidance
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Solution Overview
Problem
Existing indoor navigation systems for autonomous robots are unreliable due to high overhead costs and functional limitations, particularly in environments with dynamically moving obstacles, where GPS is unavailable.
Innovation Solution
A method using stationary 360-degree distance measuring sensors to generate baseline and obstacle maps of an enclosed environment, enabling the determination of an obstacle-avoidance movement path for navigation devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing indoor navigation approaches are used, then navigation functionality is provided, but overhead costs increase due to expensive sensor infrastructure
Solution Approach 1:
The stationary distance measuring sensors serve multiple functions: they create the baseline map of the environment, detect moving obstacles, and provide positioning information for navigation devices. This multi-functionality reduces the need for separate specialized systems, thereby reducing overall overhead costs while maintaining comprehensive navigation functionality.
Solution Approach 2:
The system enables navigation devices to determine their own positions and navigate autonomously using the sensor network infrastructure. The mobile sensors on navigation devices perform self-positioning and obstacle detection without requiring complex centralized control systems, reducing the computational and infrastructural overhead required.
2Measurement precision
If traditional indoor navigation systems are used, then static environment mapping is achieved, but adaptability to dynamically moving obstacles deteriorates
Solution Approach 1:
The patent transitions from static environment mapping to dynamic mapping by continuously updating the baseline map with real-time sensor data. The system detects changes in the environment, including moving obstacles, and dynamically adjusts the navigation path. This dynamic approach maintains measurement precision while adapting to changing conditions, resolving the contradiction between accurate static mapping and dynamic adaptability.
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 provides reliable, real-time indoor navigation with reduced computing resources, effectively handling dynamic obstacles and improving navigation accuracy and cost-effectiveness.
Implementation Method 1
receive a set of sensor data from at least one distance measuring sensor located in an enclosed environment
Data Source
AI summary
A method, computer system, and a computer program product for dynamic indoor navigation is provided. The present invention may include receiving a set of sensor data from at least one distance measuring sensor located in an enclosed environment. The present invention may include generating a baseline map of the enclosed environment based on the received set of sensor data. The present invention may include detecting at least one object in the enclosed environment based on the received set of sensor data. The present invention may include generating an obstacle map of the enclosed environment by plotting the detected at least one object in the generated baseline map of the enclosed environment. The present invention may include determining a movement path through the enclosed environment that avoids the detected at least one object in the generated obstacle map.