student profile: Ms Wei Zhou


Map

Thesis work

Thesis title: Semantic Segmentation for Intelligent Vehicles

Supervisors: Stewart WORRALL , Eduardo NEBOT

Thesis abstract:

Over the past decade, vision-based urban scene recognition has shown its capability of providing rich information to intelligent transportation systems. Semantic segmentation, as a pixel-level scene parsing method, can provide high-level understandings from images of urban scenes. However, the commonly used Convolution Neural Network (CNN) features are biased to the specific datasets and do not adapt well to a specific environment. Therefore, this research is going to explore the transferability of CNN features and adaptation of pre-trained models to local scenarios. By fusing the segmented information with several sensors, the electrical vehicles can make better control decision for autonomous driving.

Selected publications

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Journals

  • Zhou, W., Zyner, A., Worrall, S., Nebot, E. (2019). Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective. IEEE Robotics and Automation Letters, 4(2), 461-468. [More Information]

Conferences

  • Zhou, W., Worrall, S., Zyner, A., Nebot, E. (2018). Automated Process for Incorporating Drivable Path into Real-time Semantic Segmentation. IEEE International Conference on Robotics and Automation (ICRA 2018), Piscaway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Berrio Perez, J., Zhou, W., Ward, J., Worrall, S., Nebot, E. (2018). Octree map based on sparse point cloud and heuristic probability distribution for labeled images. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Piscataway: IEEE Computer Society. [More Information]
  • Zhou, W., Worrall, S., Zyner, A., Nebot, E. (2017). Automated Process for Incorporating Drivable Path into Real-time Semantic Segmentation. Australasian Conference on Robotics and Automation (ACRA 2017), Sydney: Australian Robotics and Automation Association (ARAA).
  • Berrio Perez, J., Ward, J., Worrall, S., Zhou, W., Nebot, E. (2017). Fusing Lidar and Semantic Image Information in Octree Maps. Australasian Conference on Robotics and Automation (ACRA 2017), Sydney: Australian Robotics and Automation Association (ARAA).
  • Zhou, W., Arroyo, R., Zyner, A., Ward, J., Worrall, S., Nebot, E., Bergasa, L. (2017). Transferring visual knowledge for a robust road environment perception in intelligent vehicles. IEEE 20th International Conference on Intelligent Transportation Systems (IEEE ITSC 2017), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2019

  • Zhou, W., Zyner, A., Worrall, S., Nebot, E. (2019). Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective. IEEE Robotics and Automation Letters, 4(2), 461-468. [More Information]

2018

  • Zhou, W., Worrall, S., Zyner, A., Nebot, E. (2018). Automated Process for Incorporating Drivable Path into Real-time Semantic Segmentation. IEEE International Conference on Robotics and Automation (ICRA 2018), Piscaway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Berrio Perez, J., Zhou, W., Ward, J., Worrall, S., Nebot, E. (2018). Octree map based on sparse point cloud and heuristic probability distribution for labeled images. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Piscataway: IEEE Computer Society. [More Information]

2017

  • Zhou, W., Worrall, S., Zyner, A., Nebot, E. (2017). Automated Process for Incorporating Drivable Path into Real-time Semantic Segmentation. Australasian Conference on Robotics and Automation (ACRA 2017), Sydney: Australian Robotics and Automation Association (ARAA).
  • Berrio Perez, J., Ward, J., Worrall, S., Zhou, W., Nebot, E. (2017). Fusing Lidar and Semantic Image Information in Octree Maps. Australasian Conference on Robotics and Automation (ACRA 2017), Sydney: Australian Robotics and Automation Association (ARAA).
  • Zhou, W., Arroyo, R., Zyner, A., Ward, J., Worrall, S., Nebot, E., Bergasa, L. (2017). Transferring visual knowledge for a robust road environment perception in intelligent vehicles. IEEE 20th International Conference on Intelligent Transportation Systems (IEEE ITSC 2017), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

Note: This profile is for a student at the University of Sydney. Views presented here are not necessarily those of the University.