Foliage detection training systems and methods

摘要

Example foliage detection training systems and methods are described. In one implementation, a method receives data associated with a plurality of vehicle-mounted sensors 106, 108, 110, 112, 114 and defines multiple regions of interest (ROIs) based on the received data. The method applies a label to each ROI, where the label classifies a type of foliage associated with the ROI. A foliage detection training system trains a machine learning algorithm based on the ROIs and associated labels. The method may be implemented in an automated driving system and may use image, radar, LIDAR or ultrasound data.