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TartanAir: A Dataset to Push the Limits of Visual SLAM
TLDR
We present a challenging dataset, the TartanAir, for visual SLAM for robot navigation tasks and more. Expand
Kernel Cross-Correlator
TLDR
This paper proposes a kernel cross-correlator (KCC) that breaks traditional limitations. Expand
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection
TLDR
We explore the intensity property from LiDAR scan and show that it can be effective for place recognition and propose a global 3D descriptor named intensity scan context. Expand
Kervolutional Neural Networks
TLDR
A new operation, kervolution (kernel convolution), is introduced to approximate complex behaviors of human perception systems leveraging on the kernel trick. Expand
Non-iterative SLAM
TLDR
The goal of this paper is to create a new framework for dense SLAM that is light enough for micro-robot systems based on depth camera. Expand
Ultra-wideband aided fast localization and mapping system
TLDR
This paper proposes an ultra-wideband (UWB) aided localization and mapping system that leverages on inertial sensor and depth camera. Expand
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
TLDR
This paper proposes a kernel cross-correlator (KCC) based algorithm to determine optical flow using a monocular camera, which is named as correlation flow. Expand
Non-iterative RGB-D-inertial Odometry
This paper presents a non-iterative solution to RGB-D-inertial odometry system. Traditional odometry methods resort to iterative algorithms which are usually computationally expensive or requireExpand
Robust Target-Relative Localization with Ultra-Wideband Ranging and Communication
TLDR
In this paper we propose a method to achieve relative positioning and tracking of a target by a quadcopter using Ultra-wideband (UWB) ranging sensors, which are strategically installed to help retrieve both relative position and bearing between the quad copter and target. Expand
Model-free Approach for Sensor Network Localization with Noisy Distance Measurement
TLDR
A model-free localization method with noisy distance measurement is proposed for estimating a moving robot in 3D space. Expand
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