IEEE

Towards Robust Global VINS: Innovative SemanticAware and Multi-Level Geometric Constraints Approach for Dynamic Feature Filtering in Urban Environments

Abstract: In real-world scenarios with predominant dynamic objects, achieving robust and accurate positioning using Visualinertial navigation systems (VINS) poses a challenge because these objects ...
IEEE

Dynamic Multi-Level Competition Learning-Based Dual-Task Optimization for High-Dimensional Feature Selection

Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...
IEEE

A Multi-Level Patch Dataset for JPEG Image Quality Assessment by Absolute Binary Decision

Abstract: Image quality assessment (IQA) plays a fundamental role in evaluating image processing. Currently, JPEG AIC specifies the IQA methods, dividing them into three levels: AIC-1, 2, and 3. AIC-1 ...
IEEE

TM2SP: A Transformer-Based Multi-Level Spatiotemporal Feature Pyramid Network for Video Saliency Prediction

Abstract: This paper proposes an end-to-end video saliency prediction network model, termed TM2SP-Net (Transformer-based Multi-level Spatiotemporal Feature Pyramid Network). Leveraging the strong ...
IEEE

Multi-Level Structural Contrastive Subspace Clustering Network

Abstract: Deep subspace clustering methods based on autoencoder (AE) have achieved impressive performance in various applications. However, these methods often place excessive reliance on the AE ...
IEEE

Multi-Level Adaptive Attention Fusion Network for Infrared and Visible Image Fusion

Abstract: Infrared and visible image fusion involves integrating complementary or critical information extracted from different source images into one image. Due to the significant differences between ...
IEEE

CalibMutiL: Online Calibration Of LiDAR-Camera Based On Multi-level Visual Feature Fusion

Multi-sensor fusion is a key technology in the field of autonomous driving and robotics. Traditional offline multi-sensor fusion calibration methods rely on manual operations and fail to meet ...
IEEE

MLS-SLAM: Multi-Level Submap Guided LiDAR SLAM

Abstract: LiDAR Simultaneous Localization and Mapping (SLAM) has been pivotal in various domains, including digital twins, geographic surveying, and autonomous mobile robotics. However, achieving an ...
KTLA

Southern California’s first indoor multi-level karting track opens in Culver City

K1 Speed has opened a new indoor karting facility in Culver City, featuring the first multi-level electric go-kart track in Southern California. The track includes sharp turns, acceleration zones and ...
Morningstar

K1 Speed Opens Southern California's First Indoor Multi-Level Go-Kart Track in Culver City

K1 Speed Culver City reimagines the thrill of indoor go-karting. The main attraction is the state-of-the-art, multi-level track, a first for the region. Drivers will navigate challenging hairpin turns ...
IEEE

ML-TGNet: A Multi-Level Topology Guidance Network for Motor Imagery Decoding

Abstract: Brain-computer interfaces (BCIs) based on motor imagery electroencephalogram (MI-EEG) signals have been extensively applied in various neural rehabilitation scenarios. However, existing ...