Device and method for predicting collision area of high speed small object

A method for predicting a collision area of a high speed small object, adaptable for a device comprising an event camera and a processor, wherein the method for predicting the collision area of the high speed small object comprises:

• obtaining, by the processor, a sparse event stream data through the event camera;
• obtaining, by the processor, an event stream data corresponding to a cumulative time interval by using the sparse event stream data;
• predicting, by the processor, a collision area category by using a temporal spatial feature expression associated with the event stream data, wherein the collision area category corresponds to the high speed small object;
• and
• outputting, by the processor, the collision area category,
• wherein the device further comprises a storage medium, wherein predicting the collision area category by using the temporal spatial feature expression associated with the event stream data comprises:
• encoding, by the processor, the event stream data into the temporal spatial feature expression;
• wherein the storage medium further stores a neural network, the event stream data comprises a plurality of events, and each of the plurality of events corresponds to an image coordinate, a polarity, and a time stamp, wherein encoding the event stream data into the temporal spatial feature expression comprises:
• performing, by the processor, a segmentation operation on the event stream data by using a time blocking size to obtain a plurality of time bins;
• obtaining, by the processor, a new feature value corresponding to each of the plurality of events by using the time stamp, the time blocking size, and the neural network;
• and
• generating, by the processor, the temporal spatial feature expression corresponding to each of the plurality of time bins by using the image coordinate, the polarity, and the new feature value.