Search Results for author: Hui Kong

Found 9 papers, 1 papers with code

Semantics-Guided Moving Object Segmentation with 3D LiDAR

no code implementations6 May 2022 Shuo Gu, Suling Yao, Jian Yang, Hui Kong

Instead of segmenting the moving objects directly, the network conducts single-scan-based semantic segmentation and multiple-scan-based moving object segmentation in turn.

Semantic Segmentation

Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras

no code implementations30 Apr 2022 Yubin Guo, Haobo Jiang, Xinlei Qi, Jin Xie, Cheng-Zhong Xu, Hui Kong

Meanwhile, we release a large dual-spectrum depth estimation dataset with visible-light and far-infrared stereo images captured in different scenes to the society.

Depth Estimation

Learning Moving-Object Tracking with FMCW LiDAR

no code implementations2 Mar 2022 Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong

In this paper, we propose a learning-based moving-object tracking method utilizing our newly developed LiDAR sensor, Frequency Modulated Continuous Wave (FMCW) LiDAR.

Contrastive Learning Object Tracking

CrackFormer: Transformer Network for Fine-Grained Crack Detection

no code implementations ICCV 2021 Huajun Liu, Xiangyu Miao, Christoph Mertz, Chengzhong Xu, Hui Kong

The CrackFormer is composed of novel attention modules in a SegNet-like encoder-decoder architecture.

Globally Optimal Relative Pose Estimation with Gravity Prior

no code implementations CVPR 2021 Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova

Smartphones, tablets and camera systems used, e. g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately.

Pose Estimation

Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration

1 code implementation7 Sep 2020 Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong

We propose an integrated approach to active exploration by exploiting the Cartographer method as the base SLAM module for submap creation and performing efficient frontier detection in the geometrically co-aligned submaps induced by graph optimization.

LiDAR Iris for Loop-Closure Detection

no code implementations9 Dec 2019 Ying Wang, Zezhou Sun, Cheng-Zhong Xu, Sanjay Sarma, Jian Yang, Hui Kong

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection.

Loop Closure Detection

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