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: "the invariant extended kalman filter as a stable observer"
  Abstract: We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic non-linear observer on Lie groups, for continuous-time systems with discrete observations. One of the main features of invariant observers for left-invariant systems on Lie groups is that the estimation error is autonomous. In this paper we first generalize this result by characterizing the (much broader) class of systems for which this property holds. Then, we leverage the result to prove for those systems the local stability of the IEKF around any trajectory, under the standard conditions of the linear case. One mobile robotics example and one inertial navigation example illustrate the interest of the approach. Simulations evidence the fact that the EKF is capable of diverging in some challenging situations, where the IEKF with identical tuning keeps converging.

Connected through hyperedge HE-1 (induced by source paper "a code for unscented kalman filtering on manifolds ukf m"):
  with members:
    - "exploiting symmetries to design ekfs with consistency properties for navigation and slam"
    - "contact aided invariant extended kalman filtering for legged robot state estimation"
    - "a micro lie theory for state estimation in robotics"
    - "an ekf slam algorithm with consistency properties"
    - "quaternion kinematics for the error state kalman filter"
    - "intrinsic filtering on lie groups with applications to attitude estimation"
    - "integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds"

Connected through hyperedge HE-2 (induced by source paper "a new approach to 3d icp covariance estimation"):
  with members:
    - "cello 3d estimating the covariance of icp in the real world"
    - "imls slam scan to model matching based on 3d data"
    - "lidar measurement bias estimation via return waveform modelling in a context of 3d mapping"
    - "characterization of a rs lidar for 3d perception"
    - "on the covariance of icp based scan matching techniques"

Connected through hyperedge HE-3 (induced by source paper "rins w robust inertial navigation system on wheels"):
  with members:
    - "contact aided invariant extended kalman filtering for legged robot state estimation"
    - "imls slam scan to model matching based on 3d data"
    - "using inertial sensors for position and orientation estimation"
    - "ionet learning to cure the curse of drift in inertial odometry"
    - "lstm based zero velocity detection for robust inertial navigation"
    - "deep learning based speed estimation for constraining strapdown inertial navigation on smartphones"
    - "complex urban lidar data set"
    - "oxiod the dataset for deep inertial odometry"

Connected through hyperedge HE-4 (induced by source paper "lidartag a real time fiducial tag using point clouds"):
  with members:
    - "contact aided invariant extended kalman filtering for legged robot state estimation"
    - "real time rotation invariant face detection with progressive calibration networks"
    - "rotation equivariant vector field networks"
    - "voxelnet end to end learning for point cloud based 3d object detection"
    - "da rnn semantic mapping with data associated recurrent neural networks"
    - "harmonic networks deep translation and rotation equivariance"
    - "vote3deep fast object detection in 3d point clouds using efficient convolutional neural networks"
    - "3d fully convolutional network for vehicle detection in point cloud"

Connected through hyperedge HE-5 (induced by source paper "a mathematical framework for imu error propagation with applications to preintegration"):
  with members:
    - "closed form preintegration methods for graph based visual inertial navigation"
    - "contact aided invariant extended kalman filtering for legged robot state estimation"
    - "an invariant linear quadratic gaussian controller for a simplified car"
    - "intrinsic filtering on lie groups with applications to attitude estimation"
    - "integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds"

Connected through hyperedge HE-6 (induced by source paper "contact inertial odometry collisions are your friend"):
  with members:
    - "lstm based zero velocity detection for robust inertial navigation"
    - "a survey of motion planning and control techniques for self driving urban vehicles"
    - "orb slam a versatile and accurate monocular slam system"
    - "improved state estimation in quadrotor mavs a novel drift free velocity estimator"

Connected through hyperedge HE-7 (induced by source paper "exploiting symmetries to design ekfs with consistency properties for navigation and slam"):
  with members:
    - "robust stereo visual inertial odometry for fast autonomous flight"
    - "past present and future of simultaneous localization and mapping toward the robust perception age"
    - "an ekf slam algorithm with consistency properties"

Connected through hyperedge HE-8 (induced by source paper "ai imu dead reckoning"):
  with members:
    - "experimental comparison of visual aided odometry methods for rail vehicles"
    - "imls slam scan to model matching based on 3d data"
    - "orb slam2 an open source slam system for monocular stereo and rgb d cameras"

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.SY(Systems and Control)