Xiebing Wang

E-mail xiebing.wang@in.tum.de
Room MI 03.07.059
Phone +49.89.289.18128
Fax +49.89.289.18107
Address Institut für Informatik VI
  Technische Universität München
  Boltzmannstraße 3
  85748 Garching bei München Germany
Homepage https://www.in.tum.de/i06/people/xiebing-wang-meng/

Curriculum Vitæ

My research interests include autonomous driving, parallel computing and heterogeneous computing. If you are interested in these topics, please feel free to contact me. 

2015.9 - presentResearch Assistant at Institut für Informatik VI, Technische Universität München
2012.9 - 2015.6M.Eng. in Computer School at Wuhan University, China
2008.9 - 2012.6B.Eng. in Computer School at Wuhan University, China

Thesis Topics

  • Jait Dixit: Efficient, real-time pedestrian detection with GPU-accelerated feature extraction and pattern classification (Master Thesis)
  • Christopher Kiwus: Multi-ROI based lane detection in heterogeneous systems (Master Thesis)
  • Tobias Kick: Pedestrian tracking with GM-PHD Filters for heterogeneous system (Bachelor Thesis)
  • Bodeit Tim: Comparing high- and low-level implementation of FPGA based lane detection (Bachelor Thesis)
  • Markus Obrull: Direct data communication in heterogeneous systems (Bachelor Thesis)

Teaching and Experience

  • 8 days intensive practical training on building eCars at SMIE 2016, SYSU, Zhuhai, China
  • Hardware/Software Co-Design with a LEGO car (SS 2016)
  • Hardware/Software Co-Design with a LEGO car (WS 2016)
  • Hardware/Software Co-Design with an autonomous driving car (SS 2017)

Publications

2019

  • Xiebing Wang, Kai Huang and Alois Knoll: Performance Optimisation of Parallelized ADAS Applications in FPGA-GPU Heterogeneous Systems: A Case Study with Lane Detection. IEEE Transactions on Intelligent Vehicles, 2019 more…
  • Xiebing Wang, Kai Huang, Alois Knoll and Xuehai Qian: A Hybrid Framework for Fast and Accurate GPU Performance Estimation through Source-Level Analysis and Trace-Based Simulation. 25th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2019 more…

2018

  • Xiebing Wang, Christopher Kiwus, Canhao Wu, Biao Hu, Kai Huang and Alois Knoll: Implementing and Parallelizing Real-time Lane Detection on Heterogeneous Platforms. IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2018 more…
  • Xiebing Wang, Kai Huang, Long Chen and Alois Knoll: h2ECU: a high-performance and heterogeneous electronic control unit for automated driving. IEEE Micro, 2018 more…