human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "improvements to target based 3d lidar to camera calibration"):
  Abstract: The homogeneous transformation between a LiDAR and monocular camera is required for sensor fusion tasks, such as SLAM. While determining such a transformation is not considered glamorous in any sense of the word, it is nonetheless crucial for many modern autonomous systems. Indeed, an error of a few degrees in rotation or a few percent in translation can lead to 20 cm translation errors at a distance of 5 m when overlaying a LiDAR image on a camera image. The biggest impediments to determining the transformation accurately are the relative sparsity of LiDAR point clouds and systematic errors in their distance measurements. This paper proposes (1) the use of targets of known dimension and geometry to ameliorate target pose estimation in face of the quantization and systematic errors inherent in a LiDAR image of a target, and (2) a fitting method for the LiDAR to monocular camera transformation that fundamentally assumes the camera image data is the most accurate information in one's possession.

Includes members:
  Member "a novel dual lidar calibration algorithm using planar surfaces":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "key ingredients of self driving cars")
  Member "automatic extrinsic calibration between a camera and a 3d lidar using 3d point and plane correspondences":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "probabilistic egocentric motion correction of lidar point cloud and projection to camera images for moving platforms")
  Member "lidartag a real time fiducial tag using point clouds":
    also connected through other hyperedges:
      (none)
  Member "feedback control of a cassie bipedal robot walking standing and riding a segway":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "iterative reinforcement learning based design of dynamic locomotion skills for cassie")
  Member "automatic extrinsic calibration for lidar stereo vehicle sensor setups":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "soic semantic online initialization and calibration for lidar and camera")
  Member "lidar camera calibration using 3d 3d point correspondences":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "line based camera pose estimation in point cloud of structured environments")
  Member "faster and better a machine learning approach to corner detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a comparative study for non rigid image registration and rigid image registration")

Question: Please tell me which class the source paper 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)