Steven W. Chen

Orcid: 0000-0002-5926-7557

According to our database1, Steven W. Chen authored at least 16 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy.
IEEE Robotics Autom. Lett., 2022

Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture.
IEEE Micro, 2022

Large scale model predictive control with neural networks and primal active sets.
Autom., 2022

2021
Place Recognition in Forests With Urquhart Tessellations.
IEEE Robotics Autom. Lett., 2021

Combined Routing and Scheduling of Heterogeneous Transport and Service Agents.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory.
IEEE Robotics Autom. Lett., 2020

2019
Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association.
IEEE Robotics Autom. Lett., 2019

DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance.
CoRR, 2019

DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion.
CoRR, 2019

DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Decentralization of Multiagent Policies by Learning What to Communicate.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model.
IEEE Robotics Autom. Lett., 2018

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Approximating Explicit Model Predictive Control Using Constrained Neural Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach.
IEEE Robotics Autom. Lett., 2017

Neural Network Memory Architectures for Autonomous Robot Navigation.
CoRR, 2017


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