Lionel Lacassagne
Papers
1
Total Citations
11
H-Index
1
About
Lionel Lacassagne is a leading researcher in embedded computer vision, high-performance computing, and processor architecture. His work focuses on customizing CPU instructions to accelerate fundamental vision algorithms, particularly for resource-constrained systems like drones and autonomous robots. His most cited paper, "Customizing CPU Instructions for Embedded Vision Systems" (2006, 11 citations), demonstrates how tailoring processors such as the Altera NIOS2 and Tensilica Xtensa can dramatically speed up salient point extraction and optical flow computation—critical tasks for real-time image stabilization. This contribution bridges the gap between general-purpose processors and specialized hardware, enabling efficient vision processing on embedded platforms. Lacassagne's research has practical impact in robotics and autonomous navigation, where low-latency, power-efficient computation is essential. His work continues to influence the design of embedded vision systems, making him a key figure in the intersection of hardware-software co-design and real-time image analysis.
Research Focus
Key Achievements
Top Papers
- 1Customizing CPU Instructions for Embedded Vision Systems11 citations · 2006