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 "key ingredients of self driving cars"):
  Abstract: Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area, such as visual environment perception, vehicle control, etc. Furthermore, due to fast advances in the self-driving car technology, such articles become obsolete very fast. In this paper, we give a brief but comprehensive overview on key ingredients of autonomous cars (ACs), including driving automation levels, AC sensors, AC software, open source datasets, industry leaders, AC applications and existing challenges.

Includes members:
  Member "road crack detection using deep convolutional neural network and adaptive thresholding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "unsupervised pixel level road defect detection via adversarial image to frequency transform")
  Member "automatic calibration of multiple 3d lidars in urban environments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "automatic calibration of dual lidars using two poles stickered with retro reflective tape")
  Member "using dp towards a shortest path problem related application":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "road crack detection using deep convolutional neural network and adaptive thresholding")
  Member "tightly coupled 3d lidar inertial odometry and mapping":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "omnislam omnidirectional localization and dense mapping for wide baseline multi camera systems")
  Member "a novel dual lidar calibration algorithm using planar surfaces":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "improvements to target based 3d lidar to camera calibration")
  Member "road surface 3d reconstruction based on dense subpixel disparity map estimation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fast depth estimation for view synthesis")
  Member "trafficpredict trajectory prediction for heterogeneous traffic agents":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "forecasting trajectory and behavior of road agents using spectral clustering in graph lstms")
  Member "real time stereo vision for road surface 3 d reconstruction":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "road crack detection using deep convolutional neural network and adaptive thresholding")

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)