Sentence examples for motion models represent from inspiring English sources

Physics-based motion models represent vehicles as dynamic entities governed by the laws of physics.

Maneuver-based motion models represent vehicles as independent maneuvering entities, i.e. they assume that the motion of a vehicle on the road network corresponds to a series of maneuvers executed independently from the other vehicles.

Interaction-aware motion models represent vehicles as maneuvering entities which interact with each other, i.e. the motion of a vehicle is assumed to be influenced by the motion of the other vehicles in the scene.

The purpose of this work is to develop a cardiac-induced lung motion model to be integrated into an existing breathing motion model.The authors' proposed cardiac-induced lung motion model represents the lung tissue's specific response to the subject's cardiac cycle.

On the other hand, the train motion model represents the vehicle movement according to the signalization system.

Typically, to create each side information frame, a translational motion model, representing the motion of each block with a motion vector, is used in most DVC codecs [8].

Since the targets considered here are all ground vehicles, it is appropriate to employ a simple white noise motion model to represent the dynamics of X t according to φ t = φ t - 1 + w t φ, v t = v t - 1 + w t v, x t = x t - 1 + v t - 1 sin ( φ t - 1 ) Δ t + w t x, y t = y t - 1 + w t y, z t = z t - 1 + v t - 1 cos ( φ t - 1 ) Δ t + w t z, (10).

Our approach uses a generic facial motion model which represents deformations of the prototype face during speech.

The multilayered kinodynamics simulation using the detailed digital human model and simple motion-representation model represents these complex interactions and realizes the non-linear complex relationship between the RSP stiffness and the hip joint torque that is necessary for sprinting using the same control strategy.

Since mathematical models, represented by the model parameters, are a complete and efficient characterization of cardiac shape and motion, a statistical analysis of the variation inherent in the parametric shape and motion models can be formed (Young and Frangi, 2009).

Because they represent very local patterns, their motion models can be assumed as rigid and be estimated in a very efficient way.