NEWS    MERL Researcher Pu (Perry) Wang organized a special session on automotive radar sensing at IEEE SAM Workshop 2020

Date:

June 8, 2020 - June 12, 2020

Where:

Virtual Hangzhou

Description:

MERL researcher Pu (Perry) Wang organized a special session on June 10, 2020 titled Automotive Radar Sensing. Presentations included topics from deep waveform design, object tracking, mutual interference mitigation with their applications to high-resolution automotive imaging. The session's contributors come from both academia and industry.

In this special session, our previous intern Yuxuan Xia (Chalmers Institute of Technology, Sweden) presented our work on extended object tracking using low-cost automotive radar sensors with a realistic measurement model. Yuxuan was also selected to be one of the six best student paper finalists at IEEE SAM 2020.

External Link:

http://www.sam2020.cn/sam_program.html#SS10

Research Areas:

Artificial Intelligence, Computational Sensing, Dynamical Systems, Machine Learning, Signal Processing

• Related Publications

   Xia, Y., Wang, P., Berntorp, K., Mansour, H., Boufounos, P.T., Orlik, P.V., "Extended Object Tracking Using Hierarchical Truncation Model With Partial-View Measurements", IEEE Sensor Array & Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/​SAM48682.2020.9104388, June 2020.

  BibTeX TR2020-069 PDF

  • @inproceedings{Xia2020jun,
  • author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
  • title = {Extended Object Tracking Using Hierarchical Truncation Model With Partial-View Measurements},
  • booktitle = {IEEE Sensor Array \& Multichannel Signal Processing Workshop (SAM)},
  • year = 2020,
  • month = jun,
  • doi = {10.1109/SAM48682.2020.9104388},
  • url = {https://www.merl.com/publications/TR2020-069}
  • }