Yifeng Zheng
Papers
2
Total Citations
12
H-Index
2
About
Yifeng Zheng is a researcher at the forefront of autonomous vehicle perception and robotic teleoperation, with a focus on real-time environmental understanding in complex, unstructured settings. His most impactful work establishes a rigorous reference standard for evaluating autonomous vehicles’ obstacle detection and distance estimation in challenging real-world conditions—a critical step toward safety validation in autonomous driving. This 2025 study has already garnered 10 citations, reflecting its immediate relevance to the field. Zheng also advances agricultural robotics through his 2024 work on VR map construction for orchard robot teleoperation, where he integrates dual-source positioning with sparse point cloud segmentation to enable precise, immersive remote control in dynamic outdoor environments. By bridging the gap between theoretical perception models and practical deployment in agriculture and autonomous navigation, Zheng’s contributions offer tangible benchmarks and tools for researchers and engineers. His work not only pushes the boundaries of real-time 3D sensing but also demonstrates a commitment to solving real-world challenges where reliability and accuracy are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2