Autonomous driving has achieved a great development in recent years. In order to perceive
the road and the distance of objects on the road for automatic path planning, 3D scene …

3D spatial recognition is a fundamental technology that supports automatic driving. For
example, the processing accuracy of the vehicle depends on the accuracy of depth …

Object avoidance for autonomous driving is a vital factor in safe driving. When a vehicle
travels from any random start places to any target positions in the milieu, an appropriate …

Depth information is a vital component for perception of the 3D structure of vehicle's
surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera …

Estimating depth from 2D images has become an active field of study in autonomous driving,
scene reconstruction, 3D object recognition, segmentation, and detection. Best performing …

An advanced driving assistant system is one of the most popular topics nowadays, and
depth estimation is an important cue for advanced driving assistant system. Depth prediction …

Autonomous cars can accurately perceive the deployment of traffic scenes and the distance
between visual objects in the scenarios through understanding the depth. Therefore, the …

Depth estimation is an important part of the perception system in autonomous driving.
Current studies often reconstruct dense depth maps from RGB images and sparse depth …

3D perception of depth and ego-motion is of vital importance in intelligent agent and Human
Computer Interaction (HCI) tasks, such as robotics and autonomous driving. There are …

In the latest years, it has been done a lot of research regarding the depth estimation of the
objects in an image. In autonomous driving, one of the most important tasks is to estimate …