Sensor-Fused Mobile Navigation in Data-Deprived Environments
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Solution Overview
Problem
Existing motorized mobile systems (MMS) fail to consider the diverse abilities and needs of users with varying physiological and cognitive conditions, leading to inadequate safety, security, and social independence, particularly in data-deprived environments.
Innovation Solution
Integration of integrated software and hardware systems, sensors for situational awareness, user monitoring, and human-machine interfaces designed for users with varying abilities, along with secure communication and sensor fusion techniques to enhance navigation and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors and integrated systems are added to enhance navigation and situational awareness, then safety and user independence are improved, but device complexity increases
Solution Approach 1:
The system divides navigation and safety functions into separate modular components: obstacle detection sensors, user monitoring sensors, communication modules, and control processors. Each sensor type (cameras, LIDAR, ultrasonic sensors) operates independently but contributes to the overall navigation system, allowing the complex functionality to be managed through modular architecture.
Solution Approach 2:
Multiple sensor types and detection methods are combined into a unified navigation system that processes data from various sources simultaneously. The system merges obstacle detection, user physiological monitoring, and environmental sensing into an integrated control framework that coordinates all functions through a central processor.
2Measurement precision
If advanced sensor fusion and filtering techniques are implemented to enhance situational awareness, then navigation accuracy is improved, but processing requirements and system complexity increase
Solution Approach 1:
The system implements continuous feedback loops where sensor data is constantly processed, analyzed, and used to adjust navigation decisions in real-time. Filtered data from multiple sensors provides feedback to the control system, which adjusts the mobile system's movement and positioning dynamically based on current environmental conditions and detected obstacles.
Solution Approach 2:
The system performs preliminary processing and filtering of sensor data before final navigation decisions are made. Data from multiple sensors is pre-processed, validated, and fused in advance to create accurate environmental models, allowing the navigation system to make informed decisions based on pre-analyzed information rather than raw sensor inputs.
3Reliability
If secure communication systems and user monitoring sensors are integrated, then user security and independence are improved, but device complexity and power consumption increase
Solution Approach 1:
User monitoring and secure communication functions operate periodically rather than continuously. The system activates user monitoring sensors and communication modules at scheduled intervals or when specific conditions are triggered, reducing power consumption while maintaining security and user independence through periodic status checks and data transmission.
Data Source
AI summary
A system and method for providing precise navigation for a motorized mobile system (MMS) in data deprived environments, the system comprising at least one camera that is operably configured to generate one or more of an image of objects in a field-of-view of the sensors, wherein the object is identified and used to enhance navigation or operation of the MMS.