Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
University of Haifa
4
0
2
A neural-aided approach slashes AUV initialization time and error by over 68% while simplifying the process to a single trajectory.
IAC boosts DVL calibration accuracy by up to 35% in GNSS-denied environments, transforming AUV navigation reliability.
A physics-guided deep learning framework can boost AUV navigation accuracy by 40% even in the face of noisy and incomplete sensor data.
BLENDS achieves a 25.6% improvement in navigation accuracy during GNSS outages by combining Bayesian smoothing with deep learning techniques.