Introduction

Han Wang received the Ph.D. degree in Electrical & Electronics Engineering, Nanyang Technological University (NTU), Singapore, under supervision of Professor Xie Lihua. His reseasrch interests include Indoor Positioning System (IPS), Simultaneous Localization And Mapping (SLAM), Visual Place Recogntion (VPR), Loop Closure Detection (LCD) and path planning. His project experience includes robotics oprating system (ROS), unmanned aerial vehicle (UAV), and automated guided vehicle (AGV). He is the reviewer of CVPR, ICRA, NIPS, IROS, TRO, RAL, TMECH, ICUAS, ICCA, ICARCV, SCIS, CCC, etc. Feel free to email him at wh200720041@gmail.com if you are interested in the topics.

Selected Conference Publication

Offsite evaluation of localization systems: criteria, systems and results

from IPIN 2021-22 competitions

April 2024
Han Wang, Hengyi Liang, Francesco Potortì, et al.

IEEE Journal of Indoor and Seamless Positioning and Navigation (J-ISPIN) 2024

Inertial-Only Positioning for Human & Car Localization

Feb 2024
Han Wang

IEEE International Conference on Robotics and Automation (ICRA) 2024

PyPose: A Library for Robot Learning with Physics-based Optimization

June 2023
Chen Wang, Han Wang, Lihua Xie, Sebastian Scherer, et al.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Seamless 5G-Inertial Indoor Positioning System

May 2023
Han Wang

IEEE International Conference on Robotics and Automation (ICRA) 2023

Tightly Coupled 5G-Visual-Inertial-QR SLAM for Warehouse Manipulation

May 2023
Han Wang

IEEE International Conference on Robotics and Automation (ICRA) 2023

F-LOAM: Fast LiDAR Odometry And Mapping

June 2021
Han Wang, Chen Wang, Chun-Lin Chen and Lihua Xie

IEEE/RSJ International Conference on Intelligent Robots and Systems 2021 (IROS)

Lightweight 3-D Localization and Mapping for Solid-State LiDAR

Feb 2021
Han Wang, Chen Wang and Lihua Xie

IEEE International Conference on Robotics and Automation (ICRA) 2021

Intensity-SLAM:

Intensity Assisted Localization and Mapping for Large Scale Environment

Mar 2021
Han Wang, Chen Wang and Lihua Xie

IEEE International Conference on Robotics and Automation (ICRA) 2021

Online Visual Place Recognition via Saliency Re-identification

July 2020
Han Wang, Chen Wang and Lihua Xie

IEEE/RSJ International Conference on Intelligent Robots and Systems 2020 (IROS)

Intensity Scan Context:

Coding Intensity and Geometry Relations for Loop Closure Detection

May 2020
Han Wang, Chen Wang and Lihua Xie

IEEE International Conference on Robotics and Automation 2020 (ICRA)

Fast Loop Closure Detection via Binary Content

June 2019
Han Wang, Juncheng Li, Maopeng Ran, Lihua Xie

IEEE International Conference on Control and Automation 2019 (ICCA)

MPC-based Unified Trajectory Planning

and Tracking Control Approach for Automated Guided Vehicles

June 2018
Juncheng Li, Maopeng Ran, Han Wang and Lihua Xie

IEEE International Conference on Control and Automation 2019 (ICCA)

Feasible Computationally Efficient

Path Planning for UAV Collision Avoidance

June 2018
Han Wang, Muqing Cao, Hao Jiang, Lihua Xie

IEEE International Conference on Control and Automation 2018 (ICCA)

Selected Journal Articles

Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles

2023
Jiaying Chen, Han Wang, Minghui Hu and Ponnuthurai Nagaratnam Suganthan

IEEE Robotics and Automation Letters, 2023

Multi-modal Semantic SLAM for Complex Dynamic Environments

2022
Han Wang, Jing Ying Ko and Lihua Xie

submitted to IEEE Robotics and Automation Letters, 2022

Lightweight 3-D Localization and Mapping for Solid-State LiDAR

Feb 2021
Han Wang, Chen Wang and Lihua Xie

IEEE Robotics and Automation Letters, 2021

Intensity-SLAM:

Intensity Assisted Localization and Mapping for Large Scale Environment

Feb 2021
Han Wang, Chen Wang and Lihua Xie

IEEE Robotics and Automation Letters, 2021

A Behavior-Based Mobile Robot Navigation Method

with Deep Reinforcement Learning

Oct 2020
Juncheng Li, Maopeng Ran, Han Wang and Lihua Xie

Unmanned Systems, 2020

Open Source Projects

Fast Lidar Odometry And Mapping (F-LOAM)

  • Ranked 7th in KITTI dataset
  • 20Hz processing speed

Intensity Scan Context based Lidar SLAM (ISC-LOAM)

  • Ranked 9th in KITTI dataset
  • Full SLAM structure with backend optimization

Simulation Toolkit for Warehouse Robot

  • Provide simulation of warehouse environment
  • A simple demonstration of robot localization and navigation

Loop Closure Detection via Saliency Re-identification

  • Re-formulate visual place recognition as a saliency re-identification problem
  • Increased computational efficiency and performance compared to traditional bag of word model

SSL_SLAM: 3D Localization and Scene Reconstruction for Solid-State Lidar

  • Localization with the latest solid-state Lidar
  • Colored scene reconstruction

SSL_SLAM2: Fast 3D Localization and Mapping with global optimization

  • Separate mapping and localization module
  • Global map optimization
  • Colored scene reconstruction

Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

  • Intensity assisted SLAM
  • Full SLAM struction with loop closure detection and global optimization

Project Experience

2022 - Now
Huawei Technologies Co., Ltd.
Indoor Positioning System (IPS) is an emerging technology that is widely applied in indoor navigation, urgent evacuation, human activity analysis, etc. We propose a unified and versatile framework to seamlessly fuse traditional IPS with prior knowledge and onboard perception system to solve the challenges.

Demo List

Seamless 5G-Inertial Indoor Positioning System

Inertial-Only Positioning for Human & Car Localization

2021 - 2022
Huawei Technologies Co., Ltd.
Localization of forklift in the warehouse environment is important for asset inventory, material tracking, etc. In this work, we provide cm-level long-term localization to achieve the task via fusion of 5G, QR code and vision.

Demo List

Tightly Coupled 5G-Visual-Inertial SLAM for Warehouse Manipulation

2018 - 2021
In Collabration with Delta Electronics, Taiwan
This project aims to develop a highly integrated AGV (automated guided vehicle) cooperative system for material handling and conveying in smart and reconfigurable manufacturing to meet the demand of LVHM production. The system is autonomous and intelligent in terms of optimal transportation path planning, reconfigurability, fault tolerance, and cost effectiveness.

Demo List

Autonomous AGV navigation and precision docking

Autonomous AGV trasporation with robot arm integration

Active navigation and mapping with MPC based trajectory optimization

Long term SLAM in dynamic environment

2016 - 2018
In Collabration with ST Engineering, Singapore
The project aims to develop light-weight obstacle detection and avoidance technology for UAVs that are operating in a GPSless, indoor environment. Traditionally, obstacle detection is achieved using a LiDAR or a camera. However, LiDAR operates only in the 2D plane, has limited viewing angles and is often costly to implement. Hence, in this project, it is proposed to develop a light-weight 3D obstacle avoidance technology based on time of flight sensors such as those from Intersil. The obstacle detection and avoidance system will be integrated with the UWB based localization and navigation system to achieve safe navigation in complex GPSless, indoor environments.

Demo List

UAV collision avoidance demo under different obstacle environment

UAV collision avoidance test by Muqing Cao

2014-2015
In Collabration with STMicroelectronics, Singapore
This project aims to develop speech recognition system to manipulate drones. Most drones requires manual or remote manipulation to take off and land. Existing speech recognition requires either online training or huge computational cost. In this project an offline speech recognition algorithm is designed and implemented to STM32 on board processor. The UAV is able to listen to voice command and execute task without manual control. We won the 1st place in Singapore Amazing Flying Machine Competition.
2013 - 2014
Undergraduate Research on Campus (URECA)
The project aims to develop an intelligent task planning algorithm for container terminal operation. Epuck robot is used to simulated individual transportation truck in the container terminal map designed based on real container terminal in Singapore. The algorithm optimizes the time cost under various parallel tasks input to the system. In the meantime, collision avoidance is garanteed.

Demo List

Multi robot task distribution and collabration in simulated container terminal map

Competition & Awards

xDR Challenge 2023, Nuremberg, Germany

1st Place

Vehicle Localization Challenge,
International Conference on Indoor Positioning and Indoor Navigation 2023 (IPIN)

1st Place

Foot-mounted IMU Localization Challenge
International Conference on Indoor Positioning and Indoor Navigation 2023 (IPIN)

2nd Place

Smartphone Localization Challenge
International Conference on Indoor Positioning and Indoor Navigation 2022 (IPIN)

2nd Place

RobotX International Challenge 2018

Judge's Special Award

RoboMaster 2018

2nd place in Group Stage

RobotX International Challenge 2016

Team Leader, 6th Place

RobotX International Challenge 2014

Best Teamwork Award

Singapore Flying Machine Competition 2016

2nd Place

Singapore Flying Machine Competition 2015

1st Place

President Research Scholar Award 2014

1st Place

Selected Research Results

Participated research projects or valuable research works selected from our research group

Receive the Best Paper Award in robotic planning at ICAR 2017
Robust Optical Flow Using Kernel Cross-Correlators, presented at ICRA 2018
GPS-less Localization and Path planning for UAV Inspection of 3D Structures
Integrated UWB-Vision Approach for Autonomous Docking of UAVs in GPS-Denied Environments
Non-intrusive WiFi-based indoor positioning systemwith a user-friendly web interface
SG50-Marina Bay Sands UAV Formation Show