معرفی
Philippe Xu is a Researcher at the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS) at ENSTA Paris. His work focuses on autonomous systems, sensor fusion, and robotics, with a strong emphasis on localization, perception, and decision-making for autonomous vehicles. He has contributed to projects involving LiDAR integration, HD map-based navigation, and machine learning for object detection and semantic segmentation.
Key research areas include cooperative localization in vehicle platoons, map-aided annotation systems, and fusion of evidential classifiers for improved perception. His work often addresses challenges in safety-critical autonomous systems, such as integrity management and real-time data processing.
Recent publications (2020–2024) highlight advancements in LiDAR-based obstacle detection, lane-level context analysis, and the application of Dempster-Shafer theory in neural networks.
