Term 242
Cloud-Based Autonomous Electrical Wheelchair with Obstacle Avoidance, Fall Detection, Voice Feedback
Project Type: Self-Initiated
Project Description
Manual wheelchairs lack integrated sensor fusion from onboard vision and inertial sources, real-time obstacle detection, dynamic A*-based path planning, and remote monitoring capabilities. This deficiency forces mobility-impaired users to depend on caregivers for navigation in complex indoor environments, increasing collision risks and reducing autonomy.
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Project Team
Kamel Ammar Alzainy
CIETalal Khaled Alharbi
COEBasil Alaa Alashqar
COETamim Ahmed Alnahdi
EEFahad Khalid Milibari
MEAwni Emad Shublak
METeam Coach
Dr. Uthman Baroudi
Associate ProfessorDepartment of Computer Engineering
Interdisciplinary Research Center for Intelligent Secure Systems