Method, computing device, and recording medium for detecting object in real time based on lidar point cloud
AssigneeRideFlux Inc.
InventorsHawook JEONG, Sangwon JEONG, Beomjun PARK
Life of this patent
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Abstract
Provided are a method, computing device, and recording medium for detecting an object in real time on the basis of a lidar point cloud. The method is performed by the computing device and includes generating a feature map on the basis of a point cloud which is generated by scanning a certain region through a lidar sensor and deriving an object detection result by inputting the generated feature map to a pretrained object detection model.
Claims14
A method of detecting an object in real time on the basis of a lidar point cloud, which is performed by a computing device, the method comprising:
- generating a feature map on the basis of a point cloud which is generated by scanning a certain region through a lidar sensor;
- and
- deriving an object detection result by inputting the generated feature map to a pretrained object detection model.
A computing device for performing a method of detecting an object in real time on the basis of a lidar point cloud, the computing device comprising:
- a processor;
- a network interface;
- a memory;
- and
- a computer program loaded to the memory and executed by the processor,
- wherein the computer program comprises:
- an instruction of generating a feature map on the basis of a point cloud which is generated by scanning a certain region through a lidar sensor;
- and
- an instruction of deriving an object detection result by inputting the generated feature map to a pretrained object detection model.
A recording medium in which a computer program for causing a computing device to perform a method of detecting an object in real time on the basis of a lidar point cloud is stored, wherein the method comprising:
- generating a feature map on the basis of a point cloud which is generated by scanning a certain region through a lidar sensor;
- and
- deriving an object detection result by inputting the generated feature map to a pretrained object detection model.
Dependencies are inferred from the claim text.