OBJECT DETECTION USING LOCAL (GROUND-AWARE) ADAPTIVE REGION PROPOSALS ON POINT CLOUDS
Embodiments include a method for object detection in a Light Detection And Ranging (LiDAR) point cloud, the method comprising: placing, by a navigation system, a plurality of anchor points in a two-dimensional Bird's Eye View (BEV) of spatial points represented in a segmented ground surface rep...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
20.05.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Embodiments include a method for object detection in a Light Detection And Ranging (LiDAR) point cloud, the method comprising: placing, by a navigation system, a plurality of anchor points in a two-dimensional Bird's Eye View (BEV) of spatial points represented in a segmented ground surface representation of objects detected by a LiDAR system; extracting, by the navigation system, one or more features from the two-dimensional BEV of the spatial points; proposing, by the navigation system, one or more regions of the two-dimensional BEV of the spatial points for object detection; and performing, by the navigation system, object detections on anchor points of the plurality of anchor points in the proposed one or more regions of the two-dimensional BEV of the spatial points. |
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Bibliography: | Application Number: US202016781747 |