Object Detection System
AssigneeAGCO International GmbH
InventorEsma Mujkic
Life of this patent
Estimating the term…
Abstract
An object detection system for an agricultural machine which utilises image data from one or more imaging sensors associated with the agricultural machine. The image data is analysed utilising first and second detection models to classify, for one or both models, an object within the environment of the agricultural machine. A classification metric for the object indicative of an overlap associated with the classification obtained for each of the models for the object is used in determining an identity for the object. One or more operable components associated with the agricultural machine may then be controlled in dependence on the determined identity.
Claims18
A control system for an object detection system for an agricultural machine, the control system comprising one or more controllers, and being configured to:
- receive image data from one or more imaging sensors associated with the agricultural machine;
- analyse the image data utilising first and second detection models to classify, for one or both models, an object within the environment of the agricultural machine;
- determine a classification metric for the object indicative of an overlap associated with the classification obtained for each of the models for the object;
- and
- determine an identity for the object in dependence on the classification metric and the classification obtained for the first and/or second models;
- wherein the control system is configured to control operation of one or more operable components associated with the agricultural machine in dependence on the determined identity.
A method of object detection, comprising:
- receiving image data from one or more imaging sensors associated with an agricultural machine;
- analysing the image data utilising first and second detection models to classify, for one or both models, an object within the environment of the agricultural machine;
- determining a classification metric for the object indicative of an overlap associated with the classification obtained for each of the models for the object;
- determining an identity for the object in dependence on the classification metric and the classification obtained for the first and/or second models;
- and
- controlling operation of one or more operable components associated with the agricultural machine in dependence on the determined identity.
Dependencies are inferred from the claim text.