human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "4d crop monitoring spatio temporal reconstruction for agriculture"
  Abstract: Autonomous crop monitoring at high spatial and temporal resolution is a critical problem in precision agriculture. While Structure from Motion and Multi-View Stereo algorithms can finely reconstruct the 3D structure of a field with low-cost image sensors, these algorithms fail to capture the dynamic nature of continuously growing crops. In this paper we propose a 4D reconstruction approach to crop monitoring, which employs a spatio-temporal model of dynamic scenes that is useful for precision agriculture applications. Additionally, we provide a robust data association algorithm to address the problem of large appearance changes due to scenes being viewed from different angles at different points in time, which is critical to achieving 4D reconstruction. Finally, we collected a high quality dataset with ground truth statistics to evaluate the performance of our method. We demonstrate that our 4D reconstruction approach provides models that are qualitatively correct with respect to visual appearance and quantitatively accurate when measured against the ground truth geometric properties of the monitored crops.

Connected through hyperedge HE-1 (induced by source paper "steap simultaneous trajectory estimation and planning"):
  with members:
    - "continuous time gaussian process motion planning via probabilistic inference"
    - "approximately optimal continuous time motion planning and control via probabilistic inference"
    - "sparse gaussian processes for continuous time trajectory estimation on matrix lie groups"
    - "voxblox incremental 3d euclidean signed distance fields for on board mav planning"
    - "non gaussian slap simultaneous localization and planning under non gaussian uncertainty in static and dynamic environments"
    - "simultaneous localization and planning for physical mobile robots via enabling dynamic replanning in belief space"
    - "batch nonlinear continuous time trajectory estimation as exactly sparse gaussian process regression"

Connected through hyperedge HE-2 (induced by source paper "agricolmap aerial ground collaborative 3d mapping for precision farming"):
  with members:
    - "an effective multi cue positioning system for agricultural robotics"
    - "3d registration of aerial and ground robots for disaster response an evaluation of features descriptors and transformation estimation"
    - "go icp a globally optimal solution to 3d icp point set registration"
    - "efficient volumetric fusion of airborne and street side data for urban reconstruction"
    - "point set registration coherent point drift"

Connected through hyperedge HE-3 (induced by source paper "visual servoing based navigation for monitoring row crop fields"):
  with members:
    - "an effective multi cue positioning system for agricultural robotics"
    - "from plants to landmarks time invariant plant localization that uses deep pose regression in agricultural fields"

Connected through hyperedge HE-4 (induced by source paper "weakly supervised silhouette based semantic change detection"):
  with members:
    - "panoptic segmentation"
    - "robust change captioning"
    - "m4cd a robust change detection method for intelligent visual surveillance"
    - "learning to measure change fully convolutional siamese metric networks for scene change detection"
    - "learning to adapt structured output space for semantic segmentation"
    - "learning to describe differences between pairs of similar images"
    - "fully convolutional siamese networks for change detection"
    - "high resolution semantic change detection"

Connected through hyperedge HE-5 (induced by source paper "artificial intelligence for long term robot autonomy a survey"):
  with members:
    - "adversarial training for adverse conditions robust metric localisation using appearance transfer"
    - "addressing challenging place recognition tasks using generative adversarial networks"
    - "predictive positioning and quality of service ridesharing for campus mobility on demand systems"
    - "past present and future of simultaneous localization and mapping toward the robust perception age"

Connected through hyperedge HE-6 (induced by source paper "a white noise on jerk motion prior for continuous time trajectory estimation on se 3"):
  with members:
    - "continuous time gaussian process motion planning via probabilistic inference"
    - "learning a bias correction for lidar only motion estimation"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.RO(Robotics)