1 code implementation • 13 Sep 2024 • Kaijie Yin, Tian Gao, Hui Kong
A prior global topological map (e. g., the OpenStreetMap, OSM) can boost the performance of autonomous mapping by a ground mobile robot.
1 code implementation • 22 Aug 2024 • Dong Li, Lineng Chen, Cheng-Zhong Xu, Hui Kong
To our best knowledge, this is the first benchmark dataset designed specifically for anomaly detection with reference in robotic patrolling scenarios, e. g., where an autonomous robot is employed to detect anomalous objects by comparing a reference and a query video sequences.
1 code implementation • 22 Mar 2024 • Chenyao Yu, Yingfeng Cai, Jiaxin Zhang, Hui Kong, Wei Sui, Cong Yang
As a part of the perception results of intelligent driving systems, static object detection (SOD) in 3D space provides crucial cues for driving environment understanding.
no code implementations • 25 Jan 2024 • Tengfei Wang, Fucheng Lu, Jintao Qin, Taosheng Huang, Hui Kong, Ping Shen
We demonstrate the capability of AscDAMs to greatly improve SLAM results, promoting SLAM for mapping the specially challenging environment.
1 code implementation • 4 Jul 2023 • Mehdi Rezaie, Ashley J. Ross, Hee-Jong Seo, Hui Kong, Anna Porredon, Lado Samushia, Edmond Chaussidon, Alex Krolewski, Arnaud de Mattia, Florian Beutler, Jessica Nicole Aguilar, Steven Ahlen, Shadab Alam, Santiago Avila, Benedict Bahr-Kalus, Jose Bermejo-Climent, David Brooks, Todd Claybaugh, Shaun Cole, Kyle Dawson, Axel de la Macorra, Peter Doel, Andreu Font-Ribera, Jaime E. Forero-Romero, Satya Gontcho A Gontcho, Julien Guy, Klaus Honscheid, Dragan Huterer, Theodore Kisner, Martin Landriau, Michael Levi, Marc Manera, Aaron Meisner, Ramon Miquel, Eva-Maria Mueller, Adam Myers, Jeffrey A. Newman, Jundan Nie, Nathalie Palanque-Delabrouille, Will Percival, Claire Poppett, Graziano Rossi, Eusebio Sanchez, Michael Schubnell, Gregory Tarlé, Benjamin Alan Weaver, Christophe Yèche, Zhimin Zhou, Hu Zou
The neural network with a set of nine imaging property maps passes our systematic null test criteria, and is chosen as the fiducial treatment.
no code implementations • 23 May 2023 • Yuming Huang, Yi Gu, Chengzhong Xu, Hui Kong
Specifically, semantic segmentation is achieved by a new mask-range transformer network in a mask-classfication paradigm.
1 code implementation • 13 May 2023 • Tian Gao, Cheng-Zhong Xu, Le Zhang, Hui Kong
Compared with the full-precision one, the model with the binarization method replaces complex tensor multiplication with simple bit-wise binary operations and represents full-precision model parameters and activations with only 1-bit ones, which potentially solves the problem of model size and computational complexity, respectively.
1 code implementation • IEEE ROBOTICS AND AUTOMATION LETTERS 2023 • Lineng Chen, Huan Wang, Hui Kong, Wankou Yang, Mingwu Ren
To address this issue, we propose a novel Point-wise Transformer with sparse Convolution (PTC).
no code implementations • 24 Jun 2022 • Yi Gu, Yuming Huang, Chengzhong Xu, Hui Kong
To answer this question, we propose a unified mask-classification model, MaskRange, for the range-view based LiDAR semantic and panoptic segmentation.
no code implementations • 6 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.
no code implementations • 30 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.
no code implementations • 12 Apr 2022 • Zhixing Hou, Yan Yan, Chengzhong Xu, Hui Kong
In the SRT, we extract the local feature for each point cell.
no code implementations • 2 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.
1 code implementation • 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.
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.
1 code implementation • 7 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.
no code implementations • 30 Jul 2020 • Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, Hui Kong
In this paper, we propose a cascaded non-local neural network for point cloud segmentation.
no code implementations • 9 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.