Detection of hidden object using non-line-of-sight (nlos) imaging
AssigneeHuawei Technologies Co., Ltd.
InventorYingxuan Zhu
Life of this patent
Estimating the term…
Abstract
A method of detecting hidden objects in a dynamic environment of a main object. In an embodiment, the method is implemented by a main object. The main object selects a surface object in the dynamic environment to reflect a light signal. The main object transmits a light signal from the main object to the surface object to obtain data based on a reflection of the light signal off the surface object. The main object analyzes the data to detect a hidden object that is not directly in the line of sight of the main object.
Claims20
A method of detecting hidden objects in a dynamic environment comprising:
- selecting a surface object in the dynamic environment to reflect a light signal, wherein the dynamic environment comprises a main object;
- transmitting the light signal from the main object to the surface object;
- obtaining data based on a reflection of the light signal off of the surface object;
- and
- analyzing the data to detect a hidden object that is not directly in a line of sight of the main object.
A method of selecting a surface object in a dynamic environment to detect a hidden object, the method comprising:
- analyzing a scene depicting an environment of a main object;
- determining a surface object detection region within the scene;
- and
- selecting a surface object within the surface object detection region.
A system configured to detect hidden objects in a dynamic environment, the system comprising:
- a memory storing instructions;
- one or more processors coupled to the memory and configured to execute the instructions to cause the system to:
- select a surface object in the dynamic environment to reflect a light signal, wherein the dynamic environment comprises a main object;
- transmit the light signal from the main object to the surface object;
- obtain data based on a reflection of the light signal off of the surface object;
- and
- analyze the data to detect a hidden object that is not directly in a line of sight of the main object.
Dependencies are inferred from the claim text.