Sihao Ding
Papers
5
Total Citations
53
H-Index
3
About
Sihao Ding’s research lies at the intersection of autonomous driving, human-robot interaction, and robotic perception in extreme environments. His most influential work introduces the Cirrus dataset, a long-range bi-pattern LiDAR benchmark designed for 3D object detection in highway driving scenarios, supporting sensors with a 250-meter range. With 26 citations, this dataset has become a valuable resource for advancing autonomous vehicle perception, particularly for high-speed, safety-critical decision-making. Ding has also made significant contributions to human-following robots, developing novel methods for simultaneous body part and motion identification, as well as robust feet tracking guided by locomotion models. His work on motion model-enabled appearance prediction enables robots to track partial human bodies more reliably, with applications in senior care, manufacturing, and transportation. Additionally, Ding has explored the impact of radiation-degraded Li-ion batteries on mobile robots, addressing the unique challenges of deploying robots in nuclear power plants. His research demonstrates a commitment to bridging perception, modeling, and real-world deployment, with a focus on safety and autonomy in both everyday and hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1Cirrus: A Long-range Bi-pattern LiDAR Dataset26 citations · 2021
- 2Simultaneous body part and motion identification for human-following robots16 citations · 2015
- 3Human feet tracking guided by locomotion model7 citations · 2015
- 4The impact of radiation degraded li-ion battery to mobile robots2 citations · 2017
- 5