Papers
2
Total Citations
11
H-Index
2
About
Wissal Filali is a researcher whose work bridges embedded systems, real-time computer vision, and autonomous robotics. Her primary research areas include FPGA-based architectures for real-time image processing, obstacle detection, and visual perception for mobile robots navigating dynamic environments. Filali’s most notable contribution is the development of a real-time architecture on FPGA for obstacle detection using Inverse Perspective Mapping (IPM), a method that transforms perspective images into a bird’s-eye view to identify obstacles based on height above a flat ground plane. This work, published in 2011, has garnered 7 citations and demonstrates her ability to design efficient, hardware-accelerated solutions for embedded robotics. Her earlier 2009 paper, with 4 citations, focuses on an integrated visual subsystem using a belt of micro-cameras for obstacle detection in cluttered public spaces. Filali’s contributions are significant for advancing low-latency, on-board processing in autonomous systems, enabling robots to navigate safely without relying on external computing resources. Her work is particularly relevant for students and researchers interested in FPGA implementations, real-time vision algorithms, and practical robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integrated subsystem for Obstacle detection from a belt of micro-cameras4 citations · 2009