文摘
Local features and holistic methods for visual robot-pose estimation are compared. Holistic results are good, some feature methods are more precise but also slower. Pose estimation accuracy strongly depends on distance between image locations. Under day–night illumination changes, the methods’ performances differ greatly. Computation times are provided for desktop and embedded robot platforms.