7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 1 cited
Mastering Autonomous Assembly in Fusion Application with Learning-by-doing: a Peg-in-hole Study
Ruochen Yin, Huapeng Wu, Ming Li +3
Robotic peg-in-hole assembly represents a critical area of investigation in robotic automation. The fusion of reinforcement learning (RL) and deep neural networks (DNNs) has yielde…
cs.CV2020★ 7 cited
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks
Ruochen Yin, Biao Yu, Huapeng Wu +2
It is a crucial step to achieve effective semantic segmentation of lane marking during the construction of the lane level high-precision map. In recent years, many image semantic s…