METHOD FOR TRAINING AND USING A NEURAL NETWORK TO DETECT EGO PART POSITION

摘要

A vehicle including a vehicle body having a plurality of cameras and at least one ego part connection, an ego part connected to the vehicle body via the ego part connection, a position detection system communicatively coupled to the plurality of cameras and configured to receive a video feed from the plurality of cameras, the position detection system being configured to identify an ego part at least partially imaged in the video feed and configured to determine a closest angular position of the ego part relative to the vehicle using a neural network, and wherein the neural network is configured to determine a probability of the actual angular position being closest to each angular position in a set of predefined angular positions, and determine that the closest angular position of the ego part relative to the vehicle is the predefined angular position having the highest probability.