About

Edwige Pissaloux is a pioneering researcher in assistive technology and computer vision, whose work has fundamentally advanced mobility aids for the visually impaired. Her primary research areas encompass electronic travel aids (ETAs), human-machine interfaces, and real-time image processing for navigation systems. Pissaloux’s most significant contribution is the development of the "Intelligent Glasses," a non-invasive wearable system that integrates computer vision with human tactile perception to represent 3D environments for blind users. Her 2005 paper on this system, cited 31 times, introduced a novel approach to obstacle detection and navigation that combines machine vision with physiological principles. Her work on indoor image recognition using deep convolutional neural networks (2019, 39 citations) further demonstrates her ability to apply cutting-edge AI to accessibility challenges. Pissaloux has also made notable technical contributions to parallel algorithms for velocity field estimation and image matching optimization through vision-inertial data fusion, achieving O(N) complexity suitable for real-time applications. Her research, spanning from fundamental computer vision to practical assistive devices, has accumulated over 130 citations and continues to influence the design of smart navigation systems for both robots and humans with visual impairments.

Research Focus

Key Achievements

5
H-Index
12
Papers
135
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Indoor Image Recognition and Classification via Deep Convolutional Neural Network
39 citations · 2019
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Centre National de la Recherche Scientifique, Université Paris 1 Panthéon-Sorbonne, Université de Rouen Normandie, Institut Systèmes Intelligents et de Robotique, Sorbonne Université, Université de Versailles Saint-Quentin-en-Yvelines

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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