Yixiao Feng

I am currently a research assistant at Qiyuan Lab focusing on all-weather multimodal fusion localization and reconstruction.

I received my M.EngSc degree in Robotics at University of New South Wales (UNSW) in 2024, supervised by Dr. Jose Guivant. Prior to that, I obtained my B.E. degree from Beijing University of Chemical Technology (BUCT) in 2022. From Oct 2021 to Dec 2022, I was a research intern at the DISCOVER Lab, Institute for AI Industry Research, Tsinghua University, specializing in large-scale localization, under the supervision of Dr. Yongliang Shi and Prof. Guyue Zhou.

I am actively looking for the PhD opportunity in Fall 2025.

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Recent News

  • [2024/01] Our work of BM-Loc was accepted by ICRA 2024.

Selected Publications

*: equal contribution; †: corresponding author(s)
Block-Map-Based Localization in Large-Scale Environment
Yixiao Feng*, Zhou Jiang*, Yongliang Shi†, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou.

ICRA 2024 Oral
[Paper] [Video]

We first proposed a localization method based on Block-Map (BM) for large scenes, and provide a method for generating BMs and corresponding map-switching strategies. We also proposed a factor graph optimization method with different marginalization strategies for two cases where the robot moves within the same map or traverses between different maps. The final results showed that our method achieved a per-frame computation time up to 150% faster compared to using a global map.


Borrowed from Jonathan T. Barron. Last update: .