Sergio Cuenca-Asensi
Papers
1
Total Citations
32
H-Index
1
About
Sergio Cuenca-Asensi is a leading researcher in embedded systems and autonomous vehicle perception, with a particular focus on real-time environment sensing and probabilistic modeling. His most cited work, "A Review of the Bayesian Occupancy Filter" (2017, 32 citations), provides a comprehensive survey of a critical technique for autonomous driving and robotics—the Bayesian Occupancy Filter—which enables vehicles to dynamically model their surroundings using probabilistic grids. This contribution addresses one of the most challenging aspects of autonomous systems: robust environment perception in uncertain, real-world conditions. Cuenca-Asensi’s research bridges hardware and software, often exploring how field-programmable gate arrays (FPGAs) and specialized architectures can accelerate computationally intensive algorithms like occupancy filtering and sensor fusion. His work has been instrumental in advancing the reliability and efficiency of perception systems for autonomous vehicles, with implications for both academic research and industrial applications. By combining theoretical depth with practical implementation insights, Cuenca-Asensi has established himself as a key figure in embedded perception, helping to pave the way for safer, more capable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Review of the Bayesian Occupancy Filter32 citations · 2017