Odometry Accuracy

Odometry accuracy, the precise measurement of a robot's or vehicle's movement, is crucial for autonomous navigation and mapping. Current research focuses on improving accuracy through advanced sensor fusion (e.g., combining LiDAR, radar, IMU, and cameras), refined algorithms like those employing continuous-time optimization or deep learning architectures (e.g., recurrent convolutional networks), and innovative data processing techniques such as spherical range image filtering. These advancements are significantly impacting robotics and autonomous driving by enabling more reliable localization and map building in diverse and challenging environments, ultimately enhancing safety and performance.