Software development experience follows V-model and based on C++. Include requirements, architecture, detailed design, implementation, integration, onsite tests, analysis, maintenance and documentation of software system.
R&D of radar perception and hybrid multi-modal automotive sensor calibration software products for various L-4 AD vehicle projects such as Rabus and Rivium: radar dynamic object tracking, radar objects classification, end-of-line calibration, online calibration software and misalignment detetection on automotive sensors. The industrialized radar perception product runs on the L4 AD vehicle which operate in both Germany and the Netherlands, and the calibration solutions achieved the high-accuracy calibration from production line to operation phase.
Experiences and systematic training of industry-safety standards and software development guidelines (e.g. ISO26262, ISO21448, ASPICE and AUTOSAR). Daily work experience in a Scrum-based agile team.
Theoretical knowledge and code implementation on algorithms of automotive sensor signal processing, image processing, image segmentation, geometric perception, machine learning, linear algebra and robust optimization.
Participate in multiple autonomous driving projects collaborated with industry in the fields of cognitive vehicles, high-resolution imaging automotive radar and THz-technology.
Work on algorithms of end-to-end image segmentation, object detection, moving target tracking, image registration on high-resolution automotive radar images. Two full paper of IEEE Sensors Journal and four conference proceedings have been published or are under final review.
Theoretical study and experimental verification on automotive radar signal propagation feature on vehicle infrastructures with the innovated low-THz frequency bands. Two full papers of IEEE Sensors Journal and one conference proceedings have been published or are under final review.
Build the academic network. Oral presentations on more than five international radar conferences for eight times, and nominated as the best paper of Radar 2022 IET.
Y. Xiao, F. Norouzian, E. G. Hoare, A. Bystrov, M. Gashinova and M. Cherniakov, "Automotive Paint Permittivity Estimation in Low-THz frequency," 2024 17th United Conference on Millemetre Waves and Terahertz Technologies (UCMMT), Palermo, Italy, 2024, pp. 56-61, doi: 10.1109/UCMMT62975.2024.10737755.
Norouzian, F., Y. Xiao, and M. Gashinova. "The effect of weather on the performance of mm-wave and sub-THz automotive radar." (2024): 161-220.
Xiao, Yang. Selected Problems of High-Resolution Automotive Imaging Radar. Diss. University of Birmingham, 2023.
Y. Xiao, S. Cassidy, L. Daniel, S. Pooni, M. Cherniakov and M. Gashinova, "Universal image segmentation framework on high-resolution automotive radar map," International Conference on Radar Systems (RADAR 2022), Hybrid Conference, Edinburgh, UK, 2022, pp. 226-231, doi: 10.1049/icp.2022.2320.
Y. Xiao et al., "Automotive radar image segmentation with frame fusion," International Conference on Radar Systems (RADAR 2022), Hybrid Conference, Edinburgh, UK, 2022, pp. 243-247, doi: 10.1049/icp.2022.2323.
Y. Xiao, L. Daniel and M. Gashinova, "The End-to-End Segmentation on Automotive Radar Imagery," 2021 18th European Radar Conference (EuRAD), London, United Kingdom, 2022, pp. 265-268, doi: 10.23919/EuRAD50154.2022.9784524.
Xiao, Yang, Liam Daniel, and Marina Gashinova. "Image segmentation and region classification in automotive high-resolution radar imagery." IEEE Sensors Journal 21.5 (2020): 6698-6711.
Y. Xiao, L. Daniel and M. Gashinova, "Feature-based Classification for Image Segmentation in Automotive Radar Based on Statistical Distribution Analysis," 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 2020, pp. 1-6, doi: 10.1109/RadarConf2043947.2020.9266596.
Y. Xiao, F. Norouzian, E. G. Hoare, E. Marchetti, M. Gashinova and M. Cherniakov, "Modeling and Experiment Verification of Transmissivity of Low-THz Radar Signal Through Vehicle Infrastructure," in IEEE Sensors Journal, vol. 20, no. 15, pp. 8483-8496, 1 Aug.1, 2020, doi: 10.1109/JSEN.2020.2982984
Y. Xiao et al., "Transmissivity Through Automotive Bumpers at mm-wave and Low-THz Frequencies," 2019 20th International Radar Symposium (IRS), Ulm, Germany, 2019, pp. 1-6, doi: 10.23919/IRS.2019.8768112.
Tutorial at workshp within zf group, virtual workshop
Talk at Ph.D degree defense, Birmingham, UK
Conference proceedings talk at International Conference on Radar Systems 2022, Edinburgh, UK.
Conference proceedings talk at International Conference on Radar Systems 2022, Edinburgh, UK.
Conference proceedings talk at 18th European Radar Conference (EuRAD 2021), London, UK
Talk at The Electro Magnetic Systems Interest Group (EMSIG) 2020, Birmingham, UK
Conference proceedings talk at 2020 IEEE radar conference, Florence, Italy
Conference proceedings talk at International Radar Symposium (IRS) 2019, Ulm, Germany