Motorized Mobile Chair Crowd Navigation for Collision Avoidance
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Solution Overview
Problem
Current motorized mobile systems lack the ability to adapt to varying user abilities and health conditions, leading to inadequate safety, security, and social independence for users with diverse physiological and cognitive disabilities, as they rely on limited information and periodic adjustments.
Innovation Solution
Integration of advanced sensor systems, secure communication networks, and human-machine interfaces that utilize multiple sensor types for situational awareness, sensor fusion, and advanced filtering techniques to provide a richer, safer, and more independent experience for users, allowing the system to adapt to individual needs and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensor types and sensor fusion techniques are integrated into the motorized mobile system, then situational awareness and collision avoidance capability are improved, but device complexity increases
Solution Approach 1:
The sensor system is divided into multiple independent sensor types (first sensor, second sensor, etc.), each generating data about specific aspects of the environment. This segmentation allows the system to process different sensor data streams separately before integrating them, managing complexity while maintaining comprehensive situational awareness
Solution Approach 2:
The system merges data from multiple sensor types through sensor fusion techniques, combining first sensor data and second sensor data to create a unified situational awareness model. This merging improves reliability by cross-validating information from different sensors while the fusion algorithm manages the complexity of integration
2Reliability
If the system continuously monitors and adapts to user needs in real-time, then user safety and independence are improved, but use of energy increases
Solution Approach 1:
The system performs continuous monitoring through periodic sensor data collection and analysis cycles rather than constant high-power operation. This allows the motorized mobile system to maintain real-time awareness of user needs and environmental conditions while managing energy consumption through structured, periodic processing intervals
Solution Approach 2:
The system implements continuous feedback loops where sensor data about user physiological and cognitive states is processed to dynamically adjust system behavior. This feedback mechanism improves user safety by adapting to changing needs while optimizing energy use by only activating full monitoring and adjustment when changes are detected
3Measurement precision
If advanced filtering techniques and sensor fusion are used to process sensor data, then measurement precision of object location is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary processing of sensor data including filtering and feature extraction before full sensor fusion is applied. This preliminary action reduces the complexity and time required for subsequent fusion operations while maintaining measurement precision by preparing data in advance for more efficient processing
Solution Approach 2:
The system dynamically adjusts the level of filtering and fusion processing applied to sensor data based on situational context. In low-risk environments, lighter processing is applied to reduce time loss, while in high-risk situations with detected hazards, more intensive filtering and fusion are applied to maximize location accuracy when time permits
Data Source
AI summary
A system and method for a motorized mobile chair using a plurality of sensors having a plurality of sensor types to detect a plurality of objects and generate sensor data about the detected objects, each of the detected objects being a person, the sensor data about the objects comprising a plurality of range measurements to the people and a plurality of bearing measurements to the people. The system has at least one processor to receive the sensor data about the people, group the detected people into a plurality of zones, determine a closest person in each zone, and generate one or more control signals to cause the motorized mobile chair to match a speed and a direction of the closest person in the zone corresponding to a direction of travel of the motorized mobile chair while at least approximately maintaining a selected space to the closest person in the zone corresponding to the direction of travel of the motorized mobile chair.