class_docstr: Class for modeling a linear 1D localization problem.
  
  The state is made of a scalar position and scalar speed, thus a 2D vector.
  A sensor provides acceleration inputs, while another one provides sparse
  measurements of the position.
code: def __init__(self):
      self.group = Euclidean(2, equip=False)
      self.dim_noise = 1
      self.dim_obs = 1
  
imports: import geomstats.backend
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.matrices import Matrices
  from geomstats.geometry.special_euclidean import SpecialEuclidean
label_desc: Use image node_id 1 to create a new LocalizationLinear object  with example: obj = LocalizationLinear()