Hongji Liu

Ph.D. candidate in Robotics and Autonomous Systems, HKUST

I am a Ph.D. candidate at the Robotics and Multi-perception Lab in Robotics Institute, Hong Kong Univerisity of Science and Technology, under the supervision of Prof. Ming Liu and Prof. Qifeng Chen. Before that, I received my bachelor's degree in Software Engineering at Sun Yat-sen University in 2019.

My research interests mainly include high-definition maps, semantic mapping, localization, and SLAM (Simultaneous Localization and Mapping), mainly applied to autonomous driving and robotics.

Maps play a key role in indoor robots, autonomous vehicles and other robotics derived applications. Maps with complete functions, easy storage and high accuracy are very important for robot perception, localization and planning. Therefore, I am devoted to exploring efficient and accurate map expression forms applicable to robots in different application scenarios and tasks. It is expected to take the map as the link to help improve the performance of the robot in different application scenarios.

Selected publications

  1. VHDMap-SE: A Universal Vectorized High-definition Map Aided Vehicle State Estimator
    Hongji Liu, Mingkai Tang, Mingkai Jia, Yingbing Chen, Jin Wu and Ming Liu
    IEEE Transactions on Intelligent Vehicles (T-IV) , 2024
  2. PGO-IPM: Enhance IPM Accuracy with Pose-guided Optimization for Low-cost High-definition Angular Marking Map Generation
    Hongji Liu, Linwei Zheng, Xiaoyang Yan, Zhenhua Xu, Bohuan Xue, Yang Yu, and Ming Liu
    35th IEEE Intelligent Vehicles Symposium (IV) , 2024
  3. 360ST-Mapping: An Online Semantics-Guided Topological Mapping Module for Omnidirectional Visual SLAM
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS​) , 2022