Calibration Approach

Calibration approaches aim to improve the accuracy and reliability of various systems by correcting for systematic errors and inconsistencies. Current research focuses on developing robust and efficient calibration methods for diverse applications, including camera systems (addressing challenges like varying focal lengths and hand-eye coordination), LiDAR systems (particularly for vehicle-infrastructure collaboration), and robotic systems (improving fixture and multi-fingered hand calibration). These advancements are crucial for enhancing the performance of numerous technologies, from autonomous vehicles and medical imaging to large language models and federated optimization algorithms, by ensuring accurate and reliable data processing and decision-making.