Feng Huang (PhD Student): Multi-sensor Integration and Mapping

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Published:

Targeted potential project (2023)

ITF collaboration with ASTRI

Abstract

Inspired

Dr. Wen, W. and Huang Feng.

Scholarship Plan

  • (1st year) 09/2022-08/2023: H-ZGAJ
  • (2nd year) 09/2023-08/2024: H-ZGAJ - Reserved
  • (3rd year) 09/2024-08/2025: H-ZGAJ - Project to be extended

Recent Research Plan: Hu Runzhi (Huawei ZGD2)

  • Half year research plan (by Dec 2022)-IET ITS
    • Quantification of the numbers and geometry distribution of the dynamic objects on the LiDAR SLAM (initial guess of the pose)
    • Weighting/state joint optimization for LiDAR outlier mitigation
  • One year research plan (by Jun 2023) IET ITS (accepted in IEEE ITSC 2022-part C-emerging technologies)
    • LiDAR aided cycle slip detection for GNSS-RTK
    • LiDAR/GNSS-RTK integration for reliable mapping in urban
  • 1.5 years research plan (by Dec 2023)
    • Error quantification of different positioning techniques using simulator
    • Design sensor integration strategy for the map-centered seamless multi-sensor integrated positioning

Student Supervision

  • Supervise Edward? (undergraduate student)

  • [12/01/2022]

    • Implement the code for the RTK positioning and image segmentation
    • Collect the data from the slope road to simulate the UAV scenarios dataset
    • Simulate the slop image to

News

  • [12/13/2022]
    • Improve the vehicle positioning based on the beacon LiADR from RSU
      • Carla to simulate RSU LiDAR with different orientations
      • Use the real-dataset from ASTRI
    • Help the calibration of the RSU position based on the high accuracy
    • HD map research group:
      • Mapping in HK (Runzhi)
      • HD map integrity (safety) (Jiachen)
      • HD Map update/quantification (Runzhi)
      • HD Map based error quantification (find the error source from the HD map Huang Feng
      • LiDAR aided GNSS-RTK for mapping