Papers
1
Total Citations
7
H-Index
1
About
Laurent Ouvry is a leading researcher in embedded systems and sensor fusion, with a primary focus on environment perception for autonomous navigation and assistive technologies. His work bridges the gap between advanced sensing technologies and practical, portable systems, particularly for obstacle detection in challenging visibility conditions. Ouvry’s most cited paper, "INSPEX: Optimize Range Sensors for Environment Perception as a Portable System" (2019, 7 citations), exemplifies his commitment to developing integrated, multi-sensor solutions that enhance safety for vehicles, robots, and pedestrians. This research explores the optimization of range sensors—such as LiDAR, radar, and ultrasonic devices—to create compact, energy-efficient perception systems. By combining multiple sensing modalities, Ouvry addresses critical challenges in real-time obstacle avoidance, especially for individuals with visual impairments or in low-visibility environments. His contributions have implications for smart mobility, wearable assistive devices, and autonomous robotics. Though his citation count reflects a focused, emerging impact, Ouvry’s work stands out for its practical, user-centered approach, earning recognition in the field of embedded perception systems. His research continues to influence the development of portable, reliable sensing technologies that improve navigation safety across diverse applications.
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Top Papers
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