Next Best View

Next-Best-View (NBV) research focuses on algorithmically determining the optimal sensor position for efficiently acquiring information about a scene or object, maximizing data utility while minimizing acquisition time and effort. Current research emphasizes integrating semantic information with geometric considerations, employing techniques like reinforcement learning, Gaussian processes, and various optimization algorithms (e.g., derivative-free optimization) to select viewpoints. This active perception approach is significantly impacting robotics, autonomous inspection, and 3D reconstruction by enabling more efficient data collection and improved accuracy in tasks ranging from object modeling to robot calibration.