Scene flow represents the 3D motion of every point in dynamic environments. Like optical that pixels 2D images, representation scene benefits many applications, such as autonomous driving and service robot. This paper studies problem estimation from two consecutive clouds. In this paper, a novel hierarchical neural network with double attention is proposed for learning correlation features adja...

The normal impingement of axisymmetric Homann stagnation-point flow on a surface executing perpendicular, planar, biaxial stretching is studied. field generated an exact solution the steady, three-dimensional Navier–Stokes equations in form similarity solution. It shown that two sets dual solutions exist, forming four different branches steady solutions. For sufficiently small stretches (includ...

In this paper, the traveling wave solution of Kerner konhauser model is obtained by phase plane analysis method, and a new suitable for stability variable transformation. The can describe predict nonlinear traffic phenomenon on Expressway from perspective system global stability. linear are respectively substitution Taylor expansion at equilibrium point. According to qualitative theory differen...

Autonomous vehicles operate in highly dynamic environments necessitating an accurate assessment of which aspects a scene are moving and where they to. A popular approach to 3D motion estimation, termed flow, is employ point cloud data from consecutive LiDAR scans, although such approaches have been limited by the small size real-world, annotated data. In this work, we introduce new large-scale ...