Peiyuan Zhai

Delft University of Technology. Signal Processing Systems Group. Autonomous Perception & Distributed Learning.

my_pic.jpg

Signal Processing Systems Group

Faculty of EEMCS

Delft University of Technology

Delft, The Netherlands

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

Previously, I completed my M.Sc. in Electrical Engineering at Delft University of Technology, where I researched distributed Gaussian process learning for multi-agent systems under the supervision of Dr. Raj Thilak Rajan. I also hold a B.Eng. in Information Engineering from Xi’an Jiaotong University.

My research interests include: convex/non-convex optimization, distributed signal processing, multi-agent systems, and deep learning applications to autonomous systems. I am proficient in Python, C/C++, MATLAB, and have experience with FPGA and Linux environments.

news

Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov 07, 2015 A long announcement with details
Oct 22, 2015 A simple inline announcement.

latest posts

selected publications

  1. IEEE Sensors Journal
    zhai2026camera.png
    Camera-Aided Binary Prior Support-Informed Occupancy Grid Mapping
    Peiyuan Zhai, Geethu Joseph, N. Jonathan Myers, and 1 more author
    IEEE Sensors Journal, Feb 2026
  2. IEEE Sensors Journal
    zhai2025spatial.png
    Spatial Sparsity-Aware Radar-LiDAR Fusion for Occupancy Grid Mapping in Automotive Driving
    Peiyuan Zhai, Geethu Joseph, N. J. Myers, and 2 more authors
    IEEE Sensors Journal, Sep 2025
  3. IEEE SENSORS
    Sparsity-aware occupancy grid mapping for automotive driving using radar-LiDAR fusion
    Peiyuan Zhai, Geethu Joseph, N. J. Myers, and 2 more authors
    In 2024 IEEE SENSORS, Oct 2024