Abstract: Point cloud 3D object detection technology has increasingly gained attention due to its precision in rendering three-dimensional environments essential for autonomous driving. However, ...
Abstract: Aerial images often depict objects with arbitrary orientations, which pose challenges for conventional object detectors to detect and classify. To address this issue, rotation-equivariant ...
Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...
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