Peiyuan Zhai

PhD Researcher, Signal Processing

Research interests

I am a Ph.D. researcher in Electrical Engineering at Delft University of Technology, advised by Dr. Geethu Joseph. I work on autonomous perception and occupancy-grid mapping for autonomous vehicles, with a focus on radar–LiDAR sensor fusion and sparse Bayesian learning.

Previously, I completed an M.Sc. in Electrical Engineering at TU Delft, researching distributed Gaussian-process learning for multi-agent systems. I also hold a B.Eng. in Information Engineering from Xi’an Jiaotong University.

SPEAR · multimodal sensing for automotive radar

Research strands

Explore the topic projects that connect my PhD research with its publications.

2024–2025 · Sensor fusion

Radar–LiDAR fusion for occupancy mapping

Research question

How can radar and LiDAR complement one another when estimating occupied space in automotive driving scenes?

Contribution

Develops sparsity-aware sensor-fusion methods that combine radar and LiDAR information for more informative occupancy-grid maps.

Explore research 2 related papers

Career highlights

see CV →

Feb 2023 to Feb 2027

Ph.D. Researcher, Electrical Engineering @ Delft University of Technology (TU Delft) · Delft, The Netherlands

Autonomous perception and occupancy grid mapping for autonomous vehicles; radar-LiDAR sensor fusion and sparse Bayesian learning. Advised by Dr. Geethu Joseph, Signal Processing Systems Group.
Sep 2020 to Aug 2022

M.Sc. in Electrical Engineering @ Delft University of Technology (TU Delft) · Delft, The Netherlands

Researched distributed Gaussian process learning for multi-agent systems under Dr. Raj Thilak Rajan.
Sep 2016 to Jul 2020

B.Eng. in Information Engineering @ Xi'an Jiaotong University · Xi'an, China

Information Engineering undergraduate degree. Thesis: Video Background Modeling using Gaussian Mixture Model. Grade: 86.44/100.