Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc Zhai

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: Radar signal processing for next generation vehicular networks

Themes: Autonomous sensor systems, XG - Next Generation Sensing and Communication

Biography

Peiyuan Zhai is a PhD student in the SPS group, under supervision of Prof. Geethu Joseph. His research topic is radar signal processing for next generation vehicular networks, in close cooperation with colleagues from 3mE and NXP. Before this, he finished his MSc thesis also at SPS in 2022.

Signal processing for environment-aware radar

In future, cars will exploit multiple radars towards autonomous driving. Before this becomes a reality, several challenges will have to be solved.

  1. Camera-Aided Binary Prior Support-Informed Occupancy Grid Mapping
    Zhai, Peiyuan; Joseph, Geethu; Jonathan Myers, Nitin; Pandharipande, Ashish;
    IEEE Sensors Journal,
    Volume 26, Issue 3, pp. 4340-4348, 2026. DOI: 10.1109/JSEN.2025.3642255
    document

  2. Accelerated Pattern-Coupled Sparse Bayesian Learning for Automotive Occupancy Mapping
    Harraway, Frank; Zhai, Peiyuan; Joseph, Geethu; Pandharipande, Ashish;
    IEEE Sensors Journal,
    Volume 25, Issue 22, pp. 41801-41810, 2025. DOI: 10.1109/JSEN.2025.3617133
    document

  3. Spatial Sparsity-Aware Radar-LiDAR Fusion for Occupancy Grid Mapping in Automotive Driving
    Zhai, Peiyuan; Joseph, Geethu; Myers, Nitin Jonathan; Önen, Çağan; Pandharipande, Ashish;
    IEEE Sensors Journal,
    Volume 25, Issue 17, pp. 33328-33338, 2025. DOI: 10.1109/JSEN.2025.3592023
    document

  4. Computationally-Efficient Sparsity-Aware Occupancy Grid Mapping for Automotive Driving
    Harraway, Frank; Zhai, Peiyuan; Pandharipande, Ashish; Joseph, Geethu;
    In 2025 IEEE SENSORS,
    pp. 1-4, 2025. DOI: 10.1109/SENSORS59705.2025.11331194
    document

  5. Sparsity-Aware Occupancy Grid Mapping for Automotive Driving Using Radar-LiDAR Fusion
    Peiyuan Zhai; Geethu Joseph; Nitin Jonathan Myers; Çağan Önen; Ashish Pandharipande;
    In IEEE Sensors,
    2024.

  6. Distributed Gaussian Process Hyperparameter Optimization for Multi-Agent Systems
    Peiyuan Zhai; Raj Thilak Rajan;
    In 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    IEEE, pp. 1--5, 2023. DOI: 10.1109/ICASSP49357.2023.10096267
    document

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Last updated: 17 Jan 2024

Peiyuan Zhai