Back to results
US 12,618,945 B2Granted
Motion-based object detection in a vehicle radar using convolutional neural network systems
AssigneeBdcm A2 LLC
InventorMatthew Paul Harrison
Life of this patent
Estimating the term…
Abstract
Examples disclosed herein relate to a radar system in an autonomous vehicle for object detection and classification. The radar system has a radar module having a dynamically controllable beam steering antenna and a perception module. The perception module includes a machine learning module trained on a first set of data and retrained on a second set of data to generate a set of object locations and classifications, and a classifier to use velocity information combined with the set of object locations and classifications to output a set of classified data.
Claims12
A radar comprising:
- a perception module comprising:
- a machine learning module trained on a first set of data to generate a list of perceived objects and retrained on a second set of data to generate a set of object locations and classifications, wherein the second set of data is less than the first set of data and the second set of data corresponds to data obtained by a different type of sensor than the first set of data, wherein the second set of data comprises velocity information comprising a set of velocity vectors corresponding to respective objects in the list of perceived objects;
- and
- a classifier to use the velocity information combined with the set of object locations and classifications to output a set of classified data, wherein the set of classified data comprises detected objects and respective classifications;
- and
- a radar transmission module, wherein the radar transmission module is controlled by the perception module based on the set of classified data.
3 more elements
Dependencies are inferred from the claim text.