OBJECT DETECTION IMPROVEMENT BASED ON AUTONOMOUSLY SELECTED TRAINING SAMPLES

A method for generating positive and negative training samples is presented. The method includes identifying false positive images of an object based on multiple images of an environment. The method also includes generating positive training samples from a set of images of the object. The method further includes generating a negative training sample from the false positive image. The method still further includes training an object detection system based on the positive training samples and the negative training sample.