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Wheelchair Navigation System for Disabled and Elderly People
1Visual Information Processing Lab., Konkuk University, Seoul 143-701, Korea. eykim@konkuk.ac.kr.
Sensors (Basel, Switzerland)
|November 2, 2016
Summary
This intelligent wheelchair (IW) system enhances mobility for impaired individuals by automatically detecting and avoiding obstacles. It also recognizes surroundings to prevent dangerous situations, improving user safety.
Area of Science:
- Robotics
- Artificial Intelligence
- Assistive Technology
Background:
- Limited mobility affects disabled and elderly populations.
- Existing mobility aids may lack advanced safety features.
- Need for enhanced autonomous navigation in assistive devices.
Purpose of the Study:
- To develop an intelligent wheelchair (IW) system for safe mobility.
- To integrate obstacle detection, avoidance, and environmental situation recognition.
- To reduce accident risks for users with impairments.
Main Methods:
- Utilized a vision sensor and eight ultrasonic sensors for obstacle detection.
- Generated occupancy grid maps (OGMs) for environmental representation.
- Employed a learning-based algorithm for path planning and situation recognition.
- Analyzed image texture and shape for environmental context.
Main Results:
- The system achieved 98.3% accuracy in recognizing diverse outdoor environments.
- Obstacle avoidance path generation demonstrated 92.0% accuracy.
- Successfully integrated obstacle detection and situation recognition functionalities.
Conclusions:
- The intelligent wheelchair system significantly enhances safe mobility for users with impairments.
- The combination of sensor fusion and AI algorithms provides robust navigation.
- The system demonstrates high accuracy in both environmental recognition and obstacle avoidance.
