Sensor fusion for collision detection
AssigneeLytx, Inc.
InventorJesse Daniels
Life of this patent
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Abstract
A system for collision detection includes an interface and a processor. The interface is configured to receive sensor data from a plurality of sensors. The processor is configured to preprocess the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment; process the preprocessed sensor data using a compound model to create a collision score; and provide the collision score.
Claims18
A system for collision detection, comprising:
- an interface configured to receive sensor data from a plurality of sensors;
- and
- a processor configured to:
- preprocess the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment;
- process the preprocessed sensor data using a compound model to create a collision score, wherein a combined input generated from a first neural network output and a second neural network output are processed using a dense layer neural network of the compound model to generate the collision score;
- and
- provide the collision score.
A method for collision detection, comprising:
- receiving sensor data from a plurality of sensors;
- preprocessing, using a processor, the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment;
- processing the preprocessed sensor data using a compound model to create a collision score, wherein a combined input generated from a first neural network output and a second neural network output are processed using a dense layer neural network of the compound model to generate the collision score;
- and
- providing the collision score.
A computer program product for collision detection, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- receiving sensor data from a plurality of sensors;
- preprocessing the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment;
- processing the preprocessed sensor data using a compound model to create a collision score, wherein a combined input generated from a first neural network output and a second neural network output are processed using a dense layer neural network of the compound model to generate the collision score;
- and
- providing the collision score.
Dependencies are inferred from the claim text.