Next Best View Planning

Next-best-view (NBV) planning aims to determine the optimal viewpoints for efficiently acquiring data about a scene or object, maximizing information gain while minimizing effort. Current research focuses on improving computational efficiency through projection-based methods and leveraging semantic information or predictive models to guide viewpoint selection, often employing sampling-based, gradient-based, or deep reinforcement learning approaches. These advancements are significantly impacting various fields, including autonomous robotics, 3D reconstruction, agricultural automation, and industrial inspection, by enabling more efficient and effective data acquisition in complex and dynamic environments.