Doudou Xie

Shenzhen University

Papers

1

Total Citations

44

H-Index

1

About

Dr. Doudou Xie is a leading researcher in the field of autonomous navigation and perception, with a primary focus on LiDAR-based simultaneous localization and mapping (SLAM). Her most cited work, "Comparative Analysis of SLAM Algorithms for Mechanical LiDAR and Solid-State LiDAR" (2023, 44 citations), provides a critical benchmark for the robotics community. As the industry shifts toward low-cost, solid-state LiDAR sensors, Dr. Xie’s study systematically evaluates the performance trade-offs between traditional mechanical and emerging solid-state systems, offering essential guidance for algorithm selection in real-world applications. Her contributions are particularly significant for advancing affordable autonomous systems, addressing key challenges in sensor fusion and mapping accuracy. With her work gaining rapid traction among researchers and engineers, Dr. Xie is establishing herself as a pivotal voice in the evolution of LiDAR technology. Her research not only bridges the gap between hardware innovation and algorithmic robustness but also empowers the next generation of cost-effective, reliable autonomous vehicles and robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
44
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Comparative Analysis of SLAM Algorithms for Mechanical LiDAR and Solid-State LiDAR
44 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago