Companies

Our graduates work at these companies (in alphabetical order):

Theses (23)

2020

  1. Balakrishnan, Aravind, "Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving", MMath.
  2. Chen, Henry, "Autonomous Vehicles with Visual Signals for Pedestrians: Experiments and Design Recommendations", MMath.
  3. Chen, Wei Tao, "Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning", MMath.
  4. Denouden, Taylor, "An Application of Out-of-Distribution Detection for Two-Stage Object Detection Networks", MMath.
  5. Gaurav, Ashish, "Safety-Oriented Stability Biases for Continual Learning", MMath.
  6. Valov, Pavel, "Transferring Pareto Frontiers across Heterogeneous Hardware Environments", PhD.
  7. Vernekar, Sachin, "Training Reject-Classifiers for Out-of-distribution Detection via Explicit Boundary Sample Generation", MMath.

2019

  1. Angus, Matt, "Towards Pixel-Level OOD Detection for Semantic Segmentation", MMath.
    URSA project.
  2. Balasubramanian, Venkateshwaran, "3D Online Multi-Object Tracking for Autonomous Driving", MMath.
  3. Chao, Edward, "Autonomous Driving: Mapping and Behavior Planning for Crosswalks", MASc.
  4. Deng, Jian, "MLOD: A multi-view 3D object detection based on robust feature fusion method", MMath.
  5. Dillen, Nicole, "Passenger Response to Driving Style in an Autonomous Vehicle", MMath.
  6. Hurl, Braden, "Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets", MMath.
    PreSIL project.
    TruPercept project.
  7. De Iaco, Ryan, "Motion Planning and Safety for Autonomous Driving", MASc.
  8. Jhunjhunwala, Aman, "Policy Extraction via Online Q-Value Distillation", MMath.
  9. Khan, Samin, "Towards Synthetic Dataset Generation for Semantic Segmentation Networks", MASc. 
    URSA project
    ProcSY project.
  10. Li, Changjian, "Autonomous Driving: A Multi-Objective Deep Reinforcement Learning Approach", MASc.
  11. Masud, Zarif, "Switching GAN-based Image Filters to Improve Perception for Autonomous Driving", MMath.
  12. Phan, Buu Truong, "Bayesian Deep Learning and Uncertainty in Computer Vision", MAsc.
    ProcSY project.

2018

  1. Chandail, Rahul, "Vision Augmented State Estimation with Fault Tolerance", MASc.
  2. Colwell, Ian, "Runtime Restriction of the Operational Design Domain: A Safety Concept for Automated Vehicles", MASc.
  3. Liang, Jia Hui (Jimmy), "Machine Learning for SAT Solvers", PhD.
  4. Zulkoski, Edward, "Understanding and Enhancing CDCL-based SAT Solvers", PhD.

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Opportunities

We are looking for postdocs and graduate students interested in working on all aspects of autonomous driving.

For more information, visit Open positions.