Time Offset

Time offset, the discrepancy in timestamps between different sensors or systems, significantly impacts the accuracy of data fusion and state estimation in various applications. Current research focuses on developing robust methods for estimating and compensating for these offsets, employing techniques such as Kalman filtering, factor graph optimization, and neural networks to model and predict time offset behavior, particularly in dynamic environments. These advancements are crucial for improving the precision of integrated navigation systems (e.g., GNSS/UWB), visual-inertial odometry, and multi-robot coordination, leading to more reliable and accurate results in autonomous systems and robotics.