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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Bibliographic Details
Main Authors Ahuja, Disha, Kumar, Arun CS, Aithal, Ashwath
Format Patent
LanguageEnglish
Published 20.05.2021
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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.
Bibliography:Application Number: US202016781747