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Computer Vision, Machine Learning, and Autonomous Vehicles

PGR-RA-173

Expertise of research area
Classification and Tracking; Driver Behaviour Monitoring; Road Perception; Self-driving Cars; Vehicle Automation; Computer Vision; Deep Learning; Intelligent Transportation Systems; Machine Learning


Coronavirus information for applicants and offer holders

We hope that by the time you’re ready to start your studies with us the situation with COVID-19 will have eased. However, please be aware, we will continue to review our courses and other elements of the student experience in response to COVID-19 and we may need to adapt our provision to ensure students remain safe. For the most up-to-date information on COVID-19, regularly visit our website, which we will continue to update as the situation changes www.leeds.ac.uk/covid19faqs

<h2 class="heading hide-accessible">Summary</h2>

As one of the leading interdisciplinary research groups in the world, our mission is to make fully trustable autonomous vehicles come true. Using Artificial Intelligence, Computer Vision, and Machine Learning research, we aim at safer and smarter vehicles towards sustainable and intelligent transportation systems.

<h2 class="heading hide-accessible">Full description</h2>

<p>Given the current technology transition from Level 3 to Level 4 vehicle automation, we require to have a highly accurate assessment and understanding of both the <em>driver state</em> and <em>road environment condition</em> to perform safe and timely decision making. In order to gain our objectives we have developed three sub-categories&nbsp;in this research area:</p> <p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/sJxdNLEYCYQ" width="560"></iframe></p> <p><strong>1. Driver Behaviour Monitoring:</strong> Computer Vision and Machine Learning play a vital role in the development of self-driving cars and autonomous vehicles. Understanding the driver status (i.e. distraction, fatigue, drowsiness, cognitive load, and driver in-cabin activity recognition) based on&nbsp;head pose, eye tracking, and upper body activity analysis is one of the hottest research topics in&nbsp;AI, Computer Vision,&nbsp;ML, and Human Factors domain.</p> <p><strong>2. Road Monitoring:</strong> Real-time 3D road modelling and reconstruction, vehicle and&nbsp;pedestrian&nbsp;detection &amp;&nbsp;tracking, semantic /&nbsp;instance segmentation, lane detection, traffic sign recognition, or in general &ldquo;Traffic Scene Understanding&rdquo; or &ldquo;Raod Perception &amp; Monitoring&rdquo; is another exciting area of our research interest. Similar to the previous topic, the utilisation of state-of-the-art CV, ML, and&nbsp;Deep Learning is part of this research area.</p> <p><strong>3. Multi-Sensor Data Fusion:</strong> The&nbsp;ultimate goal of this research is simultaneous monitoring of <em>driver</em> and <em>road</em>, to reach a trustable situation awareness modelling based on multi-sensor data fusion. In this research area, we use&nbsp;the most advanced and accurate sensors and equipment in our research lab&nbsp;including Cameras, RGB-depth sensors, Stereo-vision, Eye trackers, LiDAR, Radar, and GPS, alongside our multi-million dollar world-leading driving simulator facilities- the <a href="https://uolds.leeds.ac.uk/facility/virtuocity/" target="_blank">Virtuocity</a>&nbsp;and our super-powerful machine learning workstations.&nbsp;</p> <p>We have also opportunities for prospective postgraduate researchers in the <a href="https://environment.leeds.ac.uk/transport-human-factors-safety" target="_blank">Human Factors and Safety research group</a>. Some of the example projects and funding opportunities can be found in our <a href="https://phd.leeds.ac.uk" target="_blank">project directory</a>.&nbsp;In addition to the research study associated with a specific project, prospective students can also suggest their own topic. In this case, we ask prospective students to contact <a href="https://environment.leeds.ac.uk/stafflist?searchFilter=allfields&amp;query=&amp;isSupervisor=true&amp;staffTypes%5B%5D=all&amp;staffTypes%5B%5D=academic&amp;staffTypes%5B%5D=professional&amp;staffTypes%5B%5D=visiting&amp;staffTypes%5B%5D=honorary&amp;schools=all&amp;categoryIDs%5B%5D=6&amp;categoryIDs%5B%5D=4&amp;categoryIDs%5B%5D=178&amp;categoryIDs%5B%5D=5&amp;departmentIDs%5B%5D=102" target="_blank">possible supervisors</a> for an informal discussion, before submitting a research proposal.</p> <h3>Samples of our research outputs:</h3> <p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/8kPY1fQhZtk" width="560"></iframe></p> <p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/K_ZIhwqScpk" width="560"></iframe></p> <p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/FizrMquM0VU" width="560"></iframe></p> <h3>Leeds Doctoral College</h3> <p>Our <a href="https://www.leeds.ac.uk/info/130558/leeds_doctoral_college" target="_blank">Doctoral College</a> supports you throughout your postgraduate research journey. It brings together all the support services and opportunities to enhance your research, your development, and your overall experience.</p>

<h2 class="heading">How to apply</h2>

<p>Full details of the application procedure can be found <a href="https://environment.leeds.ac.uk/transport-research-degrees/doc/apply-2" target="_blank">here</a>.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below):</p> <p><a href="https://environment.leeds.ac.uk/transport-research-degrees/doc/entry-requirements-3">E</a><a href="https://environment.leeds.ac.uk/transport-research-degrees/doc/entry-requirements-3" target="_blank">nglish requirement</a></p> <p><em>We welcome applications from all suitably-qualified candidates from all around the world, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading">Contact details</h2>

<p>For queries relating to your research proposal or subject area, please contact <a href="https://environment.leeds.ac.uk/transport/staff/9408/dr-mahdi-rezaei" target="_blank">Dr Mahdi Rezaei</a></p> <p>For general enquiries and details regarding the application process, please contact the&nbsp;<a href="https://www.leeds.ac.uk/info/130206/applying/124/graduate_school_contacts" target="_blank">Doctoral College Admissions</a>&nbsp;or the&nbsp;Institute of Transport Studies: <a href="mailto:env-pgr@leeds.ac.uk">env-pgr@leeds.ac.uk</a></p>


<h2 class="heading heading--sm">Linked staff</h2>