most citedTrajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization

45 citations · 49 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO2019

FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment

Ke Wang, Kaixuan Wang, Shaojie Shen

Many approaches have been proposed to estimate camera poses by directly minimizing photometric error. However, due to the non-convex property of direct alignment, proper initializa…

cs.CV2019

Flow-Motion and Depth Network for Monocular Stereo and Beyond

Kaixuan Wang, Shaojie Shen

We propose a learning-based method that solves monocular stereo and can be extended to fuse depth information from multiple target frames. Given two unconstrained images from a mon…

cs.RO2019

Real-time Scalable Dense Surfel Mapping

Kaixuan Wang, Fei Gao, Shaojie Shen

In this paper, we propose a novel dense surfel mapping system that scales well in different environments with only CPU computation. Using a sparse SLAM system to estimate camera po…

cs.RO20194 cited

An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors

Wenchao Ding, Wenliang Gao, Kaixuan Wang +1

Trajectory replanning for quadrotors is essential to enable fully autonomous flight in unknown environments. Hierarchical motion planning frameworks, which combine path planning wi…

cs.RO2019

Probabilistic Dense Reconstruction from a Moving Camera

Yonggen Ling, Kaixuan Wang, Shaojie Shen

This paper presents a probabilistic approach for online dense reconstruction using a single monocular camera moving through the environment. Compared to spatial stereo, depth estim…

cs.RO201945 cited

Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization

Wenchao Ding, Wenliang Gao, Kaixuan Wang +1

We focus on a replanning scenario for quadrotors where considering time efficiency, non-static initial state and dynamical feasibility is of great significance. We propose a real-t…