CVIA | Research Areas

Direction 01

3D Spatial Intelligence, 3D Localization and Measurement, and 6D Pose Estimation

Related faculty: Rui Song, Yinlin Hu, Fengda Hao, Kailang Cao

This direction focuses on 3D spatial measurement, localization of complex targets, and 6D pose estimation, together with point-cloud segmentation, recognition, and 3D reconstruction.

Track 1: Vision-based localization and 3D measurement for space targets
Track 2: 6D pose estimation in complex scenes and observability analysis
Track 3: Point-cloud understanding, completion, and 3D reconstruction

Direction 02

Intelligent Processing of Remote-Sensing Imagery

Related faculty: Jiaojiao Li, Rui Song

This direction covers intelligent interpretation of visible, multispectral, and hyperspectral remote-sensing data, as well as fusion with SAR, LiDAR, and other sensing modalities. Representative tasks include detection, classification, segmentation, material analysis, and camouflage analysis.

Track 1: Object detection in visible, multispectral, and hyperspectral imagery
Track 2: Spectral reconstruction
Track 3: Fine-grained scene understanding for remote sensing

Direction 03

Industrial Machine Vision

Related faculty: Rui Song, Jiaojiao Li, Yinlin Hu, Yangli Wang, Kailang Cao, Fengda Hao

This direction targets recognition, detection, localization, quality assessment, and measurement in industrial applications. Under constrained and challenging engineering conditions, the group studies dedicated machine-vision algorithms that balance accuracy, complexity, real-time performance, and reliability, with strong emphasis on deployability.

Track 1: Visual inspection and measurement in industrial scenarios
Track 2: Robust machine-vision systems under complex engineering constraints
Track 3: Dataset construction and evaluation for industrial tasks