IEEE

Object-Oriented Integrated Sensing and Communications (ISAC) Channel Modeling for Low-Altitude 3D Spaces

Abstract: This paper presents a novel framework for object-oriented integrated sensing and communications (ISAC) channel modeling in urban environments over low-altitude 3D space, which jointly ...
IEEE

Efficient AR Object Alignment Using Deep Closest Point and Cylinder-Angle Interpolation

Abstract: Accurate alignment of virtual objects in Augmented Reality (AR) is essential for precision-critical applications such as surgery, infrastructure inspection, and digital twin systems. However ...
IEEE

Dual-Stream Global Relationship Learning for Oriented Object Detection in Remote Sensing Images

Abstract: Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. However, most existing object detection most ...
IEEE

6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection

Abstract: The 6-D pose estimation is a critical work essential to achieve reliable robotic grasping. Currently, the prevalent method is reliant on keypoint correspondence. However, this approach ...
GitHub

TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation

We introduce TASTE-Rob: 1) a dataset with 100,856 task-oriented hand-object interaction videos, 2) a three-stage pose-refinement video generation pipeline. With the above contributions, TASTE-Rob is ...
IEEE

Semantic-aware Fine-grained Point Augmentation for 3D Multi-modal Object Detection

3D object detection aims to locate and recognize the object from the point cloud, which is a meaningful and foundation task in autonomous driving. However, the sparsity of the point cloud poses a ...
IEEE

FIFO-MEP: An Efficient Multi-Eviction-Point FIFO Cache with Stable Demotion for Burst-Oriented Access Mitigation

Abstract: Caching technology is widely used in multiple areas particularly in distributed computing, where its performance is highly dependent on the cache efficiency. The cache eviction algorithm ...
IEEE

End-to-End 3D Object Detection Using LiDAR Point Cloud

Abstract: Significant progress has been made in the field of au-tonomous vehicles. Object detection and tracking are the primary tasks for any autonomous vehicle. The task of object detection in ...
IEEE

3D Point Cloud Object Detection on Edge Devices for Split Computing

Abstract: The field of autonomous driving technology is rapidly advancing, with deep learning being a key component. Particularly in the field of sensing, 3D point cloud data collected by LiDAR is ...
IEEE

WBF-ODAL: Weighted Boxes Fusion for 3D Object Detection from Automotive LiDAR Point Clouds

Abstract: The use of Convolutional Neural Networks (CNNs) is the state-of-the-art for 3D object detection from automotive/vehicle LiDAR point clouds. However, not all models perform uniformly well ...
Hosted on MSN

I followed a Bob Ross painting tutorial using random objects

Today I brushed off my painting skills and followed a Christmas and winter-themed Bob Ross painting tutorial. The only problem is I'm not a great painter, and to put myself at even more of a ...
IEEE

PAPNet: Point-enhanced Attention-aware Pillar Network for 3D Object Detection in Autonomous Driving

Abstract: The conversion of raw point clouds into pillar representations has been widely adopted for 3D object detection. Such conversion allows a point cloud to be discretized into structured grids, ...