Linwei Dong

Beijing Institute of Technology

Papers

2

Total Citations

19

H-Index

2

About

Linwei Dong is a researcher focused on advancing autonomous navigation and scene understanding for robotic systems, with particular expertise in terrain traversability evaluation and structural feature extraction. His most cited work, "Overview of Terrain Traversability Evaluation for Autonomous Robots" (2024, 13 citations), provides a comprehensive synthesis of how unmanned platforms analyze semantic and geometric environmental features to achieve safe, autonomous movement—a foundational contribution to the field. Dong further demonstrates technical depth in "Research on a hierarchical feature-based contour extraction method for spatial complex truss-like structures in aerial images" (2023, 6 citations), where he developed novel algorithms for precisely identifying structural elements in challenging aerial imagery. His research bridges critical gaps between platform dynamics and environmental perception, directly impacting the reliability of autonomous navigation in unstructured terrains. With a growing citation record and work published in 2023–2024, Dong is establishing himself as an emerging voice in robotics perception, offering practical solutions for real-world deployment of autonomous systems in complex environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Overview of Terrain Traversability Evaluation for Autonomous Robots
13 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago