Spatiotemporal Calibration

Spatiotemporal calibration focuses on accurately aligning the spatial and temporal information from multiple sensors, crucial for robust sensor fusion in applications like autonomous driving and robotics. Current research emphasizes developing targetless calibration methods, often employing continuous-time estimation and optimization techniques within frameworks like implicit neural representations or leveraging kinematic correlations between sensor data. These advancements enable more accurate and convenient multi-sensor integration, improving the reliability and performance of systems operating in diverse and challenging environments.