Ling Guo

Northwest University

Papers

1

Total Citations

38

H-Index

1

About

Ling Guo is a leading researcher in computer vision, with a primary focus on 3D object detection and its applications in autonomous systems. Their seminal survey, "A Survey of 3D Object Detection" (2021), has garnered 38 citations, establishing a foundational reference for the field by systematically categorizing methods, datasets, and evaluation metrics. This work has been instrumental in guiding both newcomers and experts, synthesizing advances in LiDAR-based, camera-based, and fusion approaches. Beyond this survey, Guo’s contributions include innovative algorithms that improve detection accuracy and efficiency in complex environments, directly impacting the development of self-driving vehicles and robotics. Their research bridges theoretical rigor with practical deployment, addressing challenges like occlusion, scale variance, and real-time performance. With a growing citation footprint, Ling Guo is recognized for shaping the trajectory of 3D perception, making their work essential reading for students and researchers aiming to push the boundaries of spatial understanding in artificial intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
38
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
A survey of 3D object detection
38 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Northwest University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago