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Object Detection and Tracking Using High-Speed 3D Image Sensors

  • Full or part time
  • Application Deadline
    Monday, June 29, 2020
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

3D image capture by existing LIDAR and Time-of-Flight (ToF) sensors is typically limited to relatively low frame rates due to bottleneck issues in the data readout and/or the necessity for optical scanning to cover a sufficiently large field of view. However, recent architectural innovations in ToF sensors based Single-Photon Avalanche Diodes (SPADs), such as on-chip data compression, combined with flash or blade-type illumination, are now enabling the acquisition of hundreds of frames per second. This project will develop signal processing algorithms, targeting robotics and autonomous systems, which take full advantage of the high frame rates possible with SPAD-based sensing. In particular, the emphasis will be on robust, hardware-compatible object tracking schemes, enabling low-latency actuation in a range of environmental conditions.

The project will use an existing high-speed sensor as a test platform for capturing 3D ToF data and evaluating algorithms. There will be an opportunity to contribute to the design of a next generation device, with an emphasis on identifying pathways towards “agile” 3D ToF systems, that recognise the environmental conditions, whether there is a strong ambient/scattering/fast evolving scene, and adapt the data acquisition/processing and illumination source accordingly so as to ensure optimal 3D perception.

The project benefits from a partnership with STMicroelectronics, the world’s leading manufacturer of SPAD-based ToF modules (as found in 100’s of millions of mobile phones), as well as a close association with Prof. Henderson’s Edinburgh-based CMOS Sensors & Systems Group (winners of “Best Academic Research Team” at Image Sensors Europe 2018, and one of the pioneering groups in SPADs).

Please note: applications may close earlier than advertised should a suitable candidate be found before the deadline.

To Apply: https://www.eng.ed.ac.uk/studying/postgraduate/research/phd/object-detection-and-tracking-using-high-speed-3d-image-sensors

Funding Notes

an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree

Tuition fees + stipend are available for Home/EU and International students

How good is research at University of Edinburgh in General Engineering?
(joint submission with Heriot-Watt University)

FTE Category A staff submitted: 91.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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