activity
20182021
most citedAutonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap

155 citations · 171 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2021★ 2 cited

DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles

Zhefan Xu, Di Deng, Yiping Dong +1

Safe UAV navigation is challenging due to the complex environment structures, dynamic obstacles, and uncertainties from measurement noises and unpredictable moving obstacle behavio…

stat.ME2021★ 1 cited

Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting

Anna K. Yanchenko, Di Daniel Deng, Jinglan Li +2

We present a case study and methodological developments in large-scale hierarchical dynamic modeling for personalized prediction in commerce. The context is supermarket sales, wher…

cs.RO2020

Robotic Exploration of Unknown 2D Environment Using a Frontier-based Automatic-Differentiable Information Gain Measure

Di Deng, Runlin Duan, Jiahong Liu +2

At the heart of path-planning methods for autonomous robotic exploration is a heuristic which encourages exploring unknown regions of the environment. Such heuristics are typically…

cs.RO2020★ 9 cited

Frontier-based Automatic-differentiable Information Gain Measure for Robotic Exploration of Unknown 3D Environments

Di Deng, Zhefan Xu, Wenbo Zhao +1

The path planning problem for autonomous exploration of an unknown region by a robotic agent typically employs frontier-based or information-theoretic heuristics. Frontier-based he…

cs.RO2020★ 2 cited

Coordinated Aerial-Ground Robot Exploration via Monte-Carlo View Quality Rendering

Di Deng, Zhefan Xu, Wenbo Zhao +1

We present a framework for a ground-aerial robotic team to explore large, unstructured, and unknown environments. In such exploration problems, the effectiveness of existing explor…

cs.RO2020★ 155 cited

Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap

Zhefan Xu, Di Deng, Kenji Shimada

Autonomous exploration requires robots to generate informative trajectories iteratively. Although sampling-based methods are highly efficient in unmanned aerial vehicle exploration…