105 citations · 228 across the 7 of their papers we have counts for
5 papers · 1 filter
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory
Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee +4
This paper describes an end-to-end pipeline for tree diameter estimation based on semantic segmentation and lidar odometry and mapping. Accurate mapping of this type of environment…
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets
Steven W. Chen, Tianyu Wang, Nikolay Atanasov +2
This work presents an explicit-implicit procedure to compute a model predictive control (MPC) law with guarantees on recursive feasibility and asymptotic stability. The approach co…
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
Yilun Zhang, Ty Nguyen, Ian D. Miller +4
Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution. Accurate depth se…
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
Shreyas S. Shivakumar, Ty Nguyen, Ian D. Miller +3
In this paper we propose a convolutional neural network that is designed to upsample a series of sparse range measurements based on the contextual cues gleaned from a high resoluti…
Decentralization of Multiagent Policies by Learning What to Communicate
James Paulos, Steven W. Chen, Daigo Shishika +1
Effective communication is required for teams of robots to solve sophisticated collaborative tasks. In practice it is typical for both the encoding and semantics of communication t…