#kalman-filtering News & Analysis

3 articles tagged with #kalman-filtering. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · May 277/10

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Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering

Researchers propose a modular state-estimation layer that enhances pre-trained multi-agent reinforcement learning (MARL) policies by compensating for communication delays and packet loss through learned dynamics filtering. The plug-and-play approach combines gated transition models with Kalman filtering to estimate current states from delayed observations, demonstrating significant robustness improvements without requiring retraining of original policies.

AINeutralarXiv – CS AI · Jun 115/10

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EKF-Based Depth Camera and Deep Learning Fusion for UAV-Person Distance Estimation and Following in SAR Operations

Researchers have developed a fusion system combining Extended Kalman Filtering with depth camera and deep learning algorithms to enable UAVs to accurately estimate distance from human targets during search-and-rescue operations. The system integrates YOLO-pose for real-time detection with depth sensor data, reducing distance estimation errors by up to 15.3% and improving performance in challenging conditions like poor visibility and reflections.

AINeutralarXiv – CS AI · May 126/10

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Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale

Researchers developed a multi-tier labeling system combining physics-based rules, Kalman filtering, and machine learning to detect orbital anomalies across thousands of LEO satellites. The approach generated 8.6M labeled training sequences from 232M historical records, enabling a Transformer model to achieve 55.4% maneuver recall and 62.8% decay recall—addressing a critical gap in space situational awareness infrastructure.