6 papers · 1 filter
Prompt-Driven Lightweight Foundation Model for Instance Segmentation-Based Fault Detection in Freight Trains
Guodong Sun, Qihang Liang, Xingyu Pan +2
Accurate visual fault detection in freight trains remains a critical challenge for intelligent transportation system maintenance, due to complex operational environments, structura…
Efficient RGB-D Scene Understanding via Multi-task Adaptive Learning and Cross-dimensional Feature Guidance
Guodong Sun, Junjie Liu, Gaoyang Zhang +2
Scene understanding plays a critical role in enabling intelligence and autonomy in robotic systems. Traditional approaches often face challenges, including occlusions, ambiguous bo…
WLTCL: Wide Field-of-View 3-D LiDAR Truck Compartment Automatic Localization System
Guodong Sun, Mingjing Li, Dingjie Liu +3
As an essential component of logistics automation, the automated loading system is becoming a critical technology for enhancing operational efficiency and safety. Precise automatic…
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer
Guodong Sun, Junjie Liu, Mingxuan Liu +2
Self-supervised monocular depth estimation aims to infer depth information without relying on labeled data. However, the lack of labeled information poses a significant challenge t…
An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary
Guodong Sun, Yuting Peng, Le Cheng +5
The precise segmentation of ore images is critical to the successful execution of the beneficiation process. Due to the homogeneous appearance of the ores, which leads to low contr…
Efficient Segmentation with Texture in Ore Images Based on Box-supervised Approach
Guodong Sun, Delong Huang, Yuting Peng +3
Image segmentation methods have been utilized to determine the particle size distribution of crushed ores. Due to the complex working environment, high-powered computing equipment…