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20192026
most citedBayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

74 citations · 227 across the 87 of their papers we have counts for

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Showing 2023Show all

12 papers · 1 filter

cs.RO2023

BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery

Jingwei Song, Ray Zhang, Qiuchen Zhu +2

Purpose: Common dense stereo Simultaneous Localization and Mapping (SLAM) approaches in Minimally Invasive Surgery (MIS) require high-end parallel computational resources for real-…

cs.RO2023★ 1 cited

Proprioceptive Invariant Robot State Estimation

Tzu-Yuan Lin, Tingjun Li, Wenzhe Tong +1

This paper reports on developing a real-time invariant proprioceptive robot state estimation framework called DRIFT. A didactic introduction to invariant Kalman filtering is provid…

cs.RO2023

ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty

Joey Wilson, Yuewei Fu, Joshua Friesen +5

In this paper, we develop a modular neural network for real-time {\color{black}(> 10 Hz)} semantic mapping in uncertain environments, which explicitly updates per-voxel probabilist…

cs.RO2023★ 1 cited

Iterative PnP and its application in 3D-2D vascular image registration for robot navigation

Jingwei Song, Keke Yang, Zheng Zhang +3

This paper reports on a new real-time robot-centered 3D-2D vascular image alignment algorithm, which is robust to outliers and can align nonrigid shapes. Few works have managed to…

cs.LG2023

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras

Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari

This paper proposes an equivariant neural network that takes data in any semi-simple Lie algebra as input. The corresponding group acts on the Lie algebra as adjoint operations, ma…

cs.RO2023

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty

Bo Fu, Tribhi Kathuria, Denise Rizzo +4

This work presents a framework for multi-robot tour guidance in a partially known environment with uncertainty, such as a museum. A simultaneous matching and routing problem (SMRP)…

cs.RO2023

Optical flow-based vascular respiratory motion compensation

Keke Yang, Zheng Zhang, Meng Li +3

This paper develops a new vascular respiratory motion compensation algorithm, Motion-Related Compensation (MRC), to conduct vascular respiratory motion compensation by extrapolatin…

cs.RO2023

Convex Geometric Motion Planning on Lie Groups via Moment Relaxation

Sangli Teng, Ashkan Jasour, Ram Vasudevan +1

This paper reports a novel result: with proper robot models on matrix Lie groups, one can formulate the kinodynamic motion planning problem for rigid body systems as \emph{exact} p…

cs.RO2023★ 9 cited

Convex Geometric Trajectory Tracking using Lie Algebraic MPC for Autonomous Marine Vehicles

Junwoo Jang, Sangli Teng, Maani Ghaffari

Controlling marine vehicles in challenging environments is a complex task due to the presence of nonlinear hydrodynamics and uncertain external disturbances. Despite nonlinear mode…

cs.RO2023★ 2 cited

Twilight SLAM: Navigating Low-Light Environments

Surya Pratap Singh, Billy Mazotti, Dhyey Manish Rajani +3

This paper presents a detailed examination of low-light visual Simultaneous Localization and Mapping (SLAM) pipelines, focusing on the integration of state-of-the-art (SOTA) low-li…

cs.RO2023

Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression

Prince E. Kuevor, Maani Ghaffari, Ella M. Atkins +1

This work presents a number of techniques to improve the ability to create magnetic field maps on a UAV which can be used to quickly and reliably gather magnetic field observations…

cs.RO2023

Moment-based Kalman Filter: Nonlinear Kalman Filtering with Exact Moment Propagation

Yutaka Shimizu, Ashkan Jasour, Maani Ghaffari +1

This paper develops a new nonlinear filter, called Moment-based Kalman Filter (MKF), using the exact moment propagation method. Existing state estimation methods use linearization…