Initial Alignment

Initial alignment refers to the process of establishing a consistent starting point for a system, crucial for accurate subsequent operation. Research focuses on improving alignment speed and accuracy in various contexts, including inertial navigation systems (using methods like optimization-based alignment and factor graph optimization) and neural network training (investigating the relationship between initial network parameters and target function). Effective initial alignment is vital for enhancing the performance and reliability of autonomous vehicles, improving the efficiency of neural network training, and advancing our understanding of learning dynamics in artificial intelligence.