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US 12,000,958 B2Granted
Reinforcement learning engine for a radar system
AssigneeBdcm A2 LLC
InventorMatthew Paul Harrison
Life of this patent
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Abstract
Examples disclosed herein relate to an autonomous driving system in a vehicle, including a radar system with a reinforcement learning engine to control a beam steering antenna and identity targets in a path and a surrounding environment of the vehicle, and a sensor fusion module to receive information from the radar system on the identified targets and compare the information received from the radar system to information received from at least one sensor in the vehicle.
Claims16
A perception module for detection of objects, comprising:
- a reinforcement learning engine comprising at least one neural network configured to determine a control action for a sensor;
- a multi-object tracker module coupled to the reinforcement learning engine;
- and
- an object list and occupancy map module coupled to the multi-object tracker module;
- an input port configured to receive sensor data;
- and
- an output port configured to send sensor control data;
- wherein the reinforcement learning engine provides control of the sensor in response to a detection and an identification of a target in a path by the sensor in a surrounding environment.
5 more elements
Dependencies are inferred from the claim text.