Action potential based detectors
AssigneeZadar Labs, Inc.
InventorsMohammad Emadi, Ali Mostajeran
Life of this patent
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Abstract
Disclosed herein are systems and methods for action potential-based object detection. Received signals corresponding to multiple chirps can be grouped based on temporal or spatial attributes. Within these groups, successful detections can be identified when at least one signal satisfies an action potential threshold. The presence of a valid object is confirmed when the number of groups with successful detections satisfies a predetermined detection threshold.
Claims17
A radar system for object detection in an environment, comprising:
- a radar transmitter, configured to emit a plurality of chirps to the environment;
- a radar receiver, configured to collect a plurality of signals reflected from objects within the environment to generate a single observed frame of the environment, the plurality of signals being responsive to the plurality of chirps;
- a processor;
- and
- a memory device including instructions that, when executed by the processor, enable the radar system to:
- group the plurality of signals within the single observed frame into a plurality of groups based on both respective temporal attributes and spatial attributes;
- determine whether at least one group includes a successful detection, thesuccessful detection comprising at least one signal in the at least one group exceeding an action potential threshold, wherein the action potential threshold is associated with a minimum signal strength or signal-to-noise ratio required to classify the at least one signal as a potential target within the at least one group;
- determine whether a number of groups having a successful detection exceeds a detection threshold;
- and
- establish an object detection within the single observed frame when the number of groups having a successful detection exceeds the detection threshold.
A computer-implemented method, comprising:
- obtaining a plurality of signals reflected from objects within an environment to generate a single observed frame, the plurality of signals being responsive to a plurality of chirps;
- grouping the plurality of signals within the single observed frame into a plurality of groups based on respective temporal and spatial attributes, the temporal attributes comprising time domain characteristics of the plurality of signals per subframe data;
- determining at least one group includes a successful detection, the successful detection comprising at least one signal exceeding an action potential threshold, wherein the action potential threshold is associated with a minimum signal strength or signal-to-noise ratio required to classify the at least one signal as a potential target within the at least one group;
- determining a number of groups having a successful detection exceeds a detection threshold;
- and
- establishing an object detection within the single observed frame when the number of groups having a successful detection exceeds the detection threshold;
- adapting the plurality of groups based on feedback from system sensors showing presence of jammer or interference.
A non-transitory computer readable storage medium storing instructions that, when executed by at least one processor of a computing system, causes the computing system to:
- obtain a plurality of signals reflected from objects within an environment to generate a single observed frame, the plurality of signals being responsive to a plurality of chirps;
- group the plurality of signals within the single observed frame into a plurality of groups based on respective temporal or spatial attributes, the temporal attributes comprising time domain characteristics of the plurality of signals per subframe data;
- determine at least one group includes a successful detection, the successful detection comprising at least one signal exceeding an action potential threshold, wherein the action potential threshold is associated with a minimum signal strength or signal-to-noise ratio required to classify the at least one signal as a potential target within the at least one group;
- determine a number of groups having a successful detection exceeds a detection threshold;
- establish an object detection within the single observed frame when the number of groups having a successful detection exceeds the detection threshold;
- and
- adapting the plurality of groups based on feedback from system sensors in subsequent object detections.
Dependencies are inferred from the claim text.