©2019 Toronto Robotics and AI Laboratory

Publications

See Prof. Waslander's Google Scholar page and the WAVELab website for more complete listings and previously published work.

Journal Articles

2019:

  • N. Mohajerin and S. L. Waslander, “Multistep prediction of dynamic systems with recurrent neural networks,” IEEE Transactions on Neural Networks and Learning Systems, Jan. 2019.

  • Q. Chen, L. Wang, Y. Wu, G. Wu, Z. Guo, and S. L. Waslander, "Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings", ISPRS Journal of Photogrammetry and Remote Sensing 147, 42-55, 2019.

  • N. Mohajerin and S. L. Waslander, “Modeling transient response of nonlinear dynamic systems using recurrent neural networks,” IEEE Transactions on Neural Networks and Learning Systems, Jan. 2019.

2018:

  • M. M. Atia and S. L. Waslander, “Map-aided adaptive GNSS/IMU sensor fusion scheme for robust urban navigation,” Measurement, vol. 131, pp. 615–627, 2019. doi: 10.1016/j.measurement.2018.08.050.

  • A. Das, S. Hui, and S. L. Waslander, “Dynamic camera cluster calibration for multi-camera visual SLAM,” Submitted to International Journal of Robotics Research, Oct. 2018.

  • N. Charron, E. McLaughlin, S. Phillips, K. Goorts, S. Narasimhan, and S. L. Waslander, “Automated
    bridge inspection using mobile ground robotics,” Journal of Structural Engineering, to appear, Jul.
    2018.

  • Y. Zhang, H.-Y. Chen, S. L. Waslander, J.-W. Gong, G.-M. Xiong, T. Yang, and K. Liu, “Hybrid trajectory planning for autonomous driving in highly constrained environments,” IEEE Access, vol. 6, pp. 32 800–32 819, Jun. 2018.  doi: 10.1109/ACCESS.2018.2845448.

  • Y. Zhang, H. Chen, S. Waslander, T. Yang, S. Zhang, G. Xiong, and K. Liu, “Toward a more complete, flexible, and safer speed planning for autonomous driving via convex optimization,” Sensors, vol. 18, no. 7, p. 2185, 2018.​ doi: 10.3390/s18072185.

Conference Articles

2019:

  • B. Hurl, R. Cohen, K. Czarnecki, S. L. Waslander. “TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data”. arXiv preprint arXiv:1909.07867.

  • A.D. Pon, J. Ku, C. Li, S.L. Waslander. “Object-Centric Stereo Matching for 3D Object Detection”. arXiv preprint arXiv:1909.07566.

  • M. Gharibi, R. Boutaba, S.L. Waslander. “3D traffic flow model for UAVs” . arXiv preprint arXiv:1909.04838.

  • K. Burnett, S. Samavi, S. L. Waslander, T. D. Barfoot, A. P. Schoellig. “aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge”. arXiv preprint arXiv:1905.08758.

  • J. Ku, A. D. Pon, S. Walsh, and S. L. Waslander. “Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation”. IROS 2019.

  • B. Hurl,  K. Czarnecki, S. Waslander. “Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception”.  arXiv preprint arXiv:1905.00160

  • J. Ku*, A. D. Pon*, and S. L. Waslander. “Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction”. CVPR 2019.

  • P. Ganti and S. L. Waslander, “Visual slam with network uncertainty informed feature selection”. CRV 2019

  • A. Harakeh, M. Smart, and S. L. Waslander, “Bayesod: A bayesian approach for uncertainty estimation in deep object detectors,” submitted to Robotics: Science and Systems, arXiv preprint arXiv:1903.03838, 2019.

 

2018:

  • M. Angus, M. El Balkini, S. Khan, A. Harakeh, O. Andrienko, C. Reading, S. L. Waslander, and K. Czarnecki, “Unlimited road-scene synthetic annotation (URSA) dataset,” in 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, Nov. 2018.

  • J. Lee, S. Walsh, A. Harakeh, and S. L. Waslander, “Leveraging pre-trained 3d object detection models for fast ground truth generation,” in 21st International Conference on Intelligent Transportation
    Systems (ITSC), Maui, Hawaii, USA, Nov. 2018.

  • Y. Zhang, H. Chen, S. Waslander, T. Yang, S. Zhang, G. Xiong, and K. Liu, “Speed planning for autonomous driving via convex optimisation,” in 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, Nov. 2018.

  • J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. L. Waslander, “Joint 3d proposal generation and
    object detection from view aggregation
    ,” in IEEE/RSJ International Conference on Intelligent Robots
    and Systems (IROS 2018), Oct. 2018.

  • N. Charron, S. Phillips, and S. L. Waslander, “De-noising of lidar point clouds corrupted by snowfall,”
    in 15th Computer and Robot Vision Conference (CRV), May 2018.

  • C. L. Choi, J. Rebello, L. Koppel, P. Ganti, A. Das, and S. L. Waslander, “Encoderless gimbal
    calibration of dynamic multi-camera clusters
    ,” in IEEE International Conference on Robotics and
    Automation (ICRA), May 2018.

  • L. Koppel and S. L. Waslander, “Manifold geometry with fast automatic derivatives and coordinate
    frame semantics checking in c++
    ,” in 15th Computer and Robot Vision Conference (CRV Oral, Best Paper), May 2018.

  • J. Ku, A. Harakeh, and S. L. Waslander, “In defense of classical image processing: Fast depth
    completion on the cpu
    ,” in 15th Computer and Robot Vision Conference (CRV Oral), May 2018.

  • N. Mohajerin, M. Mozifian, and S. L. Waslander, “Deep learning a quadrotor dynamic model for
    multi-step prediction
    ,” in IEEE International Conference on Robotics and Automation (ICRA), May
    2018.

  • A. Pon, O. Andrienko, A. Harakeh, and S. L. Waslander, “A hierarchical deep architecture and
    mini-batch selection method for joint traffic sign and light detection
    ,” in 15th Computer and Robot
    Vision Conference (CRV Oral), May 2018.