Abstract
Inspired by my another paper[3], neural network can detect location
and size,so it can do object detection task. I redesign the mnist
dataset, to produce different location and different size. Through test
on new mnist dataset, the rectangle of number is all right both on
absolute function and relu function. The classification accuracy is
97%-98%, the accuracy of location of rectangle is 99%-100%. It is
easy for location task than for classification task. It is easy to
distinguish black and white for one object, but RGB picture is harder to
distinguish. Because the role of neural network is like a function. The
location task can achieved by neural network as long as the problem can
be expressed by a function. The task can be done as long as there is
enough data and enough network complexity. The whole task is suit to
study object detection.When we use lidar, the picture we got is like the
gray picture listed before, we just to classify and locate the way we
can drive through, so one object should be classified and located, the
accuracy is high.