Feng Huang (PhD Student): Multi-sensor Integration and Mapping
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
- Improve the vehicle positioning based on the beacon LiADR from RSU