Renjuan Sun
Papers
1
Total Citations
29
H-Index
1
About
Dr. Renjuan Sun is a leading researcher in intelligent transportation systems, with a primary focus on advancing LiDAR sensor technology for traffic infrastructure. Her most influential work centers on developing robust data registration methods for roadside LiDAR sensors, a critical challenge for enabling connected and autonomous vehicle applications. In her landmark 2019 paper, "Data Registration with Ground Points for Roadside LiDAR Sensors," which has garnered 29 citations, Dr. Sun introduced an innovative approach for accurately aligning data from multiple LiDAR sensors by leveraging ground points. This contribution is foundational for creating seamless, high-resolution detection of road users' trajectories, directly supporting safer and more efficient traffic engineering. Her research bridges the gap between raw sensor data and practical, real-world deployment, addressing key hurdles in sensor fusion and environmental perception. By solving the complex problem of multi-sensor calibration, Dr. Sun’s work is paving the way for the next generation of smart, LiDAR-enhanced traffic infrastructure systems that can reliably monitor and manage dynamic road environments.
Research Focus
Key Achievements
Top Papers
- 1Data Registration with Ground Points for Roadside LiDAR Sensors29 citations · 2019