Cristina Consani
Papers
1
Total Citations
4
H-Index
1
About
Cristina Consani’s research centers on the intersection of optical imaging, autonomous systems, and atmospheric physics, with a particular focus on how environmental conditions degrade sensor performance. Her most-cited work, “Fog Effects on Time-of-Flight Imaging Investigated by Ray-Tracing Simulations” (2018, 4 citations), provides a foundational framework for understanding how fog disrupts Time-of-Flight (ToF) sensors—a critical technology for autonomous vehicles and mobile robotics. By employing advanced ray-tracing simulations, Consani quantifies the perturbation induced by fog on ToF imaging, identifying key error sources and paving the way for effective correction strategies. This work is essential for developing robust perception systems that can operate reliably in adverse weather. Her contributions are particularly impactful in the field of autonomous navigation, where sensor accuracy under fog is a known bottleneck. Consani’s research not only advances theoretical understanding but also offers practical insights for engineers designing safer autonomous systems. Her meticulous approach to simulating complex atmospheric effects underscores her reputation as a meticulous and innovative researcher, whose work is increasingly cited by those seeking to bridge the gap between ideal sensor models and real-world performance.
Research Focus
Key Achievements
Top Papers
- 1