Abstract: Existing single-stage 3-D object detection algorithms, whether relying on point or voxel methodologies, face challenges in achieving high-performance detection across diverse object ...
Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
We’ve put together a list of some of the best books to learn programming languages, covering everything from writing clean ...
Abstract: One of the major drawbacks of the neutral-point clamped (NPC) inverter is unequal power loss distribution among power devices, which leads to unequal thermal loadings. Therefore, certain ...
Abstract: 3D single object tracking plays a crucial role in numerous applications such as autonomous driving. Recent trackers based on motion-centric paradigm perform well as they exploit motion cues ...
Abstract: Combining motion prediction in LiDAR-based 3D object detection is an effective method for improving overall accuracy, especially the downstream autonomous driving tasks. The recent ...
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