IEEE

Oriented Clustering Reppoints for Resident Space Objects Detection in Time Delay Integration Images

Abstract: The rotation of camera during scanning imaging induces the image degradation, which means both resident space objects (RSOs) and stars have the same morphological characteristics in the ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
IEEE

Transient Analysis and Overcurrent Limited Strategy for Supply Restoration-Oriented Hybrid Soft Open Point

Abstract: The hybrid soft open point (HSOP), formed by the parallel combination of the normally open point (NOP) and the soft open point (SOP), combines the advantages of flexibility and high ...
IEEE

Dynamic Point-Pixel Feature Alignment for Multimodal 3-D Object Detection

Abstract: Detection of small or distant objects is a major challenge in 3-D object detection in autonomous driving either through RGB images or LiDAR point clouds. Despite the growing popularity of ...
IEEE

Oriented Object Detection for Remote Sensing Images via Object-Wise Rotation-Invariant Semantic Representation

Abstract: Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in ...
IEEE

SG-Grasp: Semantic Segmentation Guided Robotic Grasp Oriented to Weakly Textured Objects Based on Visual Perception Sensors

Abstract: Weakly textured objects are frequently manipulated by industrial and domestic robots, and the most common two types are transparent and reflective objects; however, their unique visual ...
IEEE

Oriented Object Detection via Contextual Dependence Mining and Penalty-Incentive Allocation

Abstract: Oriented object detection in aerial images has made significant advancements propelled by well-developed detection frameworks and diverse representation approaches to oriented bounding boxes ...
IEEE

PVC-SSD: Point-Voxel Dual-Channel Fusion With Cascade Point Estimation for Anchor-Free Single-Stage 3-D Object Detection

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 ...
IEEE

Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation

Abstract: Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point ...
IEEE

Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds

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, ...
IEEE

Reliability-Oriented Asymmetric Power Device Size Selection of Neutral-Point Clamped Inverter Considering Mission Profiles

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 ...
IEEE

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

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 ...