High Precision Navigation

High-precision navigation focuses on developing robust and accurate methods for determining and controlling the position and orientation of autonomous systems, such as vehicles, robots, and drones, across diverse environments. Current research emphasizes improving navigation accuracy and efficiency through techniques like tightly coupled positioning and control models using factor graph optimization, data-driven approaches incorporating machine learning (e.g., LLMs, neural networks), and sensor fusion strategies that account for uncertainties and sensor misalignments. These advancements are crucial for enhancing safety and reliability in various applications, including autonomous driving, robotic surgery, and exploration in challenging environments.