Chabha Hireche

Centre National de la Recherche Scientifique, Altran (France)

Papers

Total Citations

H-Index

About

Chabha Hireche is a researcher advancing the intersection of artificial intelligence and autonomous systems, with a primary focus on safe mission planning and computational intelligence for vision-based applications. Her most cited work, "Embedded Bayesian Network Contribution for a Safe Mission Planning of Autonomous Vehicles" (2020), has garnered 18 citations and demonstrates how Bayesian Networks—probabilistic models widely used in medicine, finance, and robotics—can be embedded into autonomous vehicles to create intelligent monitors that adapt to environmental context, enhancing decision-making and safety. This contribution is pivotal for developing reliable autonomous navigation systems. Additionally, her 2021 paper on "Computational Intelligence for Automatic Object Recognition for Vision Systems" (2 citations) explores AI-driven methods to improve visual perception, a critical component for autonomous technologies. Through her research, Hireche bridges probabilistic reasoning and real-time system design, offering practical solutions for robust autonomous operations. Her work not only advances theoretical frameworks but also provides actionable insights for engineers and researchers aiming to integrate intelligent monitoring into autonomous platforms, marking her as a thoughtful contributor to the field of intelligent transportation and robotics.