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A Deep Learning Method for 2D Bounding Box Estimation ...
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由 E Nezhadarya 著作2019被引用 25 次 — We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points.
BoxNet: A Deep Learning Method for 2D Bounding Box ...
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2024年9月5日 — We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points. Our method, entitled ...
A Deep Learning Method for 2D Bounding Box Estimation ...
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The proposed method, entitled BoxNet, exploits a simple deep neural network that can efficiently handle unordered points, and can accurately predict the ...
BoxNet: A Deep Learning Method for 2D Bounding Box ... - ar5iv
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We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points.
Ehsan Nezhadarya
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BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud. E Nezhadarya, Y Liu, B Liu. IEEE Intelligent Vehicles ...
Bingbing Liu
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We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points.
Yang Liu
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BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud · Ehsan Nezhadarya, Yang Liu, Bingbing Liu. Published: 31 Dec ...
LIDAR using a deep-learning approach | Request PDF
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BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud. August 2019. Ehsan Nezhadarya · Yang Liu ...
Deep Hough Voting for 3D Object Detection in Point Clouds
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由 CR Qi 著作2019被引用 1483 次 — Given a point cloud of a 3D scene, our VoteNet votes to object centers and then groups and aggregates the votes to predict 3D bounding boxes and semantic ...
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Estimation of 2D Bounding Box Orientation with Convex ...
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BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud · Efficient L-shape fitting of laser scanner data for vehicle pose ...