Object detection and classification using 2D RGB image generated by point cloud radar

A radar system comprising:

• receive antennas that receive a radar signal;
• and
• one or more processors configured to:
• generate an n-dimensional point cloud comprising values for parameters of an object in an environment of the radar system, where the n-dimensional point cloud is generated based upon the radar signal, and further wherein n is greater than 2;
• generate from the n-dimensional point cloud a 2D RGB (red-green-blue) image representing the values of the parameters in different colors, respectively, wherein a first color associated with the object in the RGB image represents a radar cross-section of the object, a second color associated with the object in the RGB image represents a velocity of the object, and a third color associated with the object in the RGB image represents a height of the object;
• and
• provide the 2D RGB image as input to a You Only Look Once neural network, where the You Only Look Once neural network detects the object and assigns a classification to the object based upon the first color, the second color and the third color associated with the object.

A radar analysis system comprising:

• one or more processors configured to:
• receive an n-dimensional point cloud comprising values for parameters of an object in an environment of the radar system, wherein n is greater than 2;
• generate from the n-dimensional point cloud a 2D RGB (red-green-blue) image representing the values of the parameters in different colors, respectively, wherein a first color associated with the object in the RGB image represents a radar cross-section of the object, a second color associated with the object in the RGB image represents a velocity of the object, and a third color associated with the object in the RGB image represents a height of the object;
• and
• provide the 2D RGB image as input to a You Only Look Once neural network, where the You Only Look Once neural network detects the object and assigns a classification to the object based upon the 2D RGB image first color, the second color and the third color associated with the object.