Bharanidhar Duraisamy

Track level fusion of extended objects from heterogeneous sensors

2016

The detection and tracking of extended targets is a challenging problem. The accuracy of the detections and the tracking is dependent on the granularity and the quality of the data obtained from the sensors. The …

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet

2024

Kalman Filters (KF) are fundamental to real-time state estimation applications, including radar-based tracking systems used in modern driver assistance and safety technologies. In a linear dynamical system with Gaussian noise distributions the KF is the …