Olivier Orfila
Papers
1
Total Citations
119
H-Index
1
About
Olivier Orfila is a leading researcher in autonomous driving systems, with a focus on the critical interplay between perception, information processing, and modeling for safe vehicle automation. His most-cited work, "Perception, information processing and modeling: Critical stages for autonomous driving applications" (2017, 119 citations), provides a foundational framework that dissects the essential stages of autonomous vehicle operation, from sensor interpretation to decision-making algorithms. Orfila’s contributions bridge the gap between theoretical modeling and real-world application, addressing challenges in how vehicles perceive their environment and process complex data streams. His research has been instrumental in advancing the reliability and safety of autonomous systems, influencing both academic studies and industry practices. With a career dedicated to unraveling the cognitive and computational demands of self-driving technology, Orfila’s work continues to shape the trajectory of intelligent transportation, making him a key figure in the evolution of autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1