Intrusion detection method and apparatus
AssigneeShenzhen Yinwang Intelligent Technologies Co., Ltd.
InventorsGirish Shivalingappa Revadigar, Suk In Kang, Zhuo Wei, Seonghoon Jeong, Hyunjae Kang, Huy Kang Kim, Hyun Min Song
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Abstract
An intrusion detection method includes obtaining a first point cloud from a light detection and ranging (LiDAR) sensor, obtaining a first object information by applying a first perception process to the first point cloud, modifying the first point cloud to obtain a second point cloud, obtaining a second object information by applying a second perception process to the second point cloud, and providing an intrusion result based on a comparison between the first object information and the second object information.
Claims19
An intrusion detection method, comprising:
- obtaining a first point cloud of an object from a light detection and ranging (LiDAR) sensor;
- obtaining first object information regarding the object by applying a first perception process to the first point cloud, wherein the first object information comprises a confidence score indicating a probability that the object is accurately recognized;
- modifying the first point cloud to obtain a second point cloud of the object;
- obtaining second object information regarding the object by applying a second perception process to the second point cloud, wherein the second object information comprises a confidence score indicating a probability that the object is accurately recognized;
- making a comparison between the first object information and the second object information and an object information threshold;
- and
- providing an intrusion result based on the comparison between the first object information and the second object information being equal to or greater than the object information threshold.
An intrusion detection apparatus, comprising:
- one or more memories configured to store programming instructions;
- and
- at least one processor coupled to the one or more memories and configured to execute the programming instructions to cause the apparatus to:
- obtain a first point cloud of an object from a light detection and ranging (LiDAR) sensor;
- obtain a first object information regarding the object by applying a first perception process to the first point cloud, wherein the first object information comprises a confidence score indicating a probability that the object is accurately recognized;
- modify the first point cloud to obtain a second point cloud of the object;
- obtain a second object information regarding the object by applying a second perception process to the second point cloud, wherein the second object information comprises a confidence score indicating a probability that the object is accurately recognized;
- make a comparison between the first object information and the second object information and an object information threshold;
- and
- provide an intrusion result based on the comparison between the first object information and the second object information being equal to or greater than the object information threshold.
A computer program product comprising instructions stored on a non-transitory medium that, when executed by one or more a processors, cause an apparatus to:
- obtain a first point cloud of an object from a light detection and ranging (LiDAR) sensor;
- obtain a first object information regarding the object by applying a first perception process to the first point cloud, wherein the first object information comprises a confidence score indicating a probability that the object is accurately recognized;
- modify the first point cloud to obtain a second point cloud of the object;
- obtain a second object information regarding the object by applying a second perception process to the second point cloud, wherein the second object information comprises a confidence score indicating a probability that the object is accurately recognized;
- make a comparison between the first object information and the second object information and an object information threshold;
- and
- provide an intrusion result based on the comparison between the first object information and the second object information being equal to or greater than the object information threshold.
Dependencies are inferred from the claim text.