Publications
See Prof. Waslander's Google Scholar page and the WAVELab website for more complete listings and previously published work.
Journal Articles
2021
⦁ Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots
Shatil Rahman, and Steven L. Waslander
IEEE Robotics and Automation Letters (Presentation at the IEEE International Conference on Robotics and Automation), 2021
⦁ Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
Jun Yang, Dong Li, and Steven L. Waslander
IEEE Robotics and Automation Letters (Presentation at the IEEE International Conference on Robotics and Automation), 2021
⦁ Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
Justin Tomasi , Brandon Wagstaff , Steven L. Waslander, and Jonathan Kelly
IEEE Robotics and Automation Letters (Presentation at the IEEE International Conference on Robotics and Automation), 2021
2020
⦁ Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
T Barfoot, J Burgner-Kahrs, E Diller, A Garg, A Goldenberg, J Kelly, X Liu, HE Naguib, G Nejat, AP Schoellig, F Shkurti, H Siegel, Y Sun, SL Waslander
arXiv preprint arXiv:2009.08577, 2020
⦁ Vehicle Scheduling Problem
Gharibi, Mirmojtaba, Steven L. Waslander, and Raouf Boutaba
IEEE Transactions on Intelligent Transportation Systems (Submitted), 2020
⦁ 3D traffic flow model for UAVs
Gharibi, Mirmojtaba, Raouf Boutaba, and Steven L. Waslander
IEEE Transactions on Intelligent Transportation Systems (Submitted), 2020
⦁ Controller Class for Rigid Body Tracking on SO (3)
Akhtar, Adeel, and Steven Waslander
IEEE Transactions on Automatic Control, 2020
⦁ Canadian Adverse Driving Conditions Dataset
Pitropov, Matthew, Danson Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, and Steven Waslander.
International Journal of Robotics Research, 2020
⦁ An end-to-end shape modeling framework for vectorized building outline generation from aerial images
Chen, Qi and Wang, Lei and Waslander, Steven L and Liu, Xiuguo
ISPRS Journal of Photogrammetry and Remote Sensing, 2020
⦁ Path Following for a Class of Underactuated Systems Using Global Parameterization
Akhtar, Adeel, Sajid Saleem, and Steven L. Waslander
IEEE Access, 2020
2019
⦁ Automated Bridge Inspection Using Mobile Ground Robotics
N. Charron, E. McLaughlin, S. Phillips, K. Goorts, S. Narasimhan, S. L. Waslander
Journal of Structural Engineering, 2019
⦁ Multistep prediction of dynamic systems with recurrent neural networks
N. Mohajerin and S. L. Waslander
IEEE Transactions on Neural Networks and Learning Systems, 2019
⦁ Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings
Q. Chen, L. Wang, Y. Wu, G. Wu, Z. Guo, and S. L. Waslander
ISPRS Journal of Photogrammetry and Remote Sensing 147, 42-55, 2019
⦁ Modeling transient response of nonlinear dynamic systems using recurrent neural networks
N. Mohajerin and S. L. Waslander
IEEE Transactions on Neural Networks and Learning Systems, 2019
2018
⦁ Map-aided adaptive GNSS/IMU sensor fusion scheme for robust urban navigation
M. M. Atia and S. L. Waslander
Measurement, vol. 131, pp. 615–627, 2019.
⦁ Toward a more complete, flexible, and safer speed planning for autonomous driving via convex optimization
Y. Zhang, H. Chen, S. Waslander, T. Yang, S. Zhang, G. Xiong, and K. Liu
Sensors, vol. 18, no. 7, p. 2185, 2018
⦁ Hybrid trajectory planning for autonomous driving in highly constrained environments
Y. Zhang, H.-Y. Chen, S. L. Waslander, J.-W. Gong, G.-M. Xiong, T. Yang, and K. Liu
IEEE Access, vol. 6, pp. 32 800–32 819, 2018
Conference Articles
2021
⦁ ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
Jun Yang, Yizhou Gao, Dong Li, and Steven L. Waslander
nternational Conference on Intelligent Robots and Systems (IROS), 2021.
⦁ Categorical Depth Distribution Network for Monocular 3D Object Detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L. Waslander
Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR Oral), 2021.
⦁ Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh, Steven L. Waslander
International Conference on Learning Representations (ICLR), 2021.
2020
⦁ Feedback Linearizing Controllers on SO (3) using a Global Parametrization
Akhtar, Adeel, Sajid Saleem, and Steven L. Waslander
American Control Conference (ACC), 2020
⦁ Leveraging Temporal Data for Automatic Labelling of Static Vehicles
Sean Walsh, Jason Ku, Alex D. Pon and S.L. Waslander
Conference on Computer and Robot Vision (CRV), 2020
⦁ Towards End-to-end Learning of Visual Inertial Odometry with an EKF
Chunshang Li and S.L. Waslander
Conference on Computer and Robot Vision (CRV), 2020
⦁ Bayesod: A bayesian approach for uncertainty estimation in deep object detectors
A. Harakeh, M. Smart, and S. L. Waslander
International Conference on Robotics and Automation (ICRA), 2020
⦁ Object-Centric Stereo Matching for 3D Object Detection
A.D. Pon, J. Ku, C. Li, S.L. Waslander
International Conference on Robotics and Automation (ICRA), 2020
⦁ AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM
J. Rebello, A. Fung, and S.L. Waslander
International Conference on Robotics and Automation (ICRA), 2020
⦁ TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data
B. Hurl, R. Cohen, K. Czarnecki, S. L. Waslander.
Intelligent Vehicles Conference, 2020
2019
⦁ aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
K. Burnett, S. Samavi, S. L. Waslander, T. D. Barfoot, A. P. Schoellig
Conference on Computer and Robot Vision (CRV), 2019
⦁ Visual Measurement Integrity Monitoring for UAV Localization
C.Li, S.L. Waslander
IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2019
⦁ Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
J. Ku, A. D. Pon, S. Walsh, and S. L. Waslander
International Conference on Intelligent Robots and Systems (IROS), 2019
⦁ Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
B. Hurl, K. Czarnecki, S. Waslander
IEEE Intelligent Vehicles Symposium (IV), 2019
⦁ Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
J. Ku*, A. D. Pon*, and S. L. Waslander
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
⦁ Visual slam with network uncertainty informed feature selection
P. Ganti and S. L. Waslander
Conference on Computer and Robot Vision (CRV), 2019
2018
⦁ Unlimited road-scene synthetic annotation (URSA) dataset
M. Angus, M. El Balkini, S. Khan, A. Harakeh, O. Andrienko, C. Reading, S. L. Waslander, and K. Czarnecki
International Conference on Intelligent Transportation Systems (ITSC), 2018
⦁ Leveraging pre-trained 3d object detection models for fast ground truth generation
J. Lee, S. Walsh, A. Harakeh, and S. L. Waslander
International Conference on Intelligent Transportation Systems (ITSC), 2018
⦁ Speed planning for autonomous driving via convex optimisation
Y. Zhang, H. Chen, S. Waslander, T. Yang, S. Zhang, G. Xiong, and K. Liu
International Conference on Intelligent Transportation Systems (ITSC), 2018
⦁ Joint 3d proposal generation and object detection from view aggregation
J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. L. Waslander
International Conference on Intelligent Robots and Systems (IROS), 2018
⦁ De-noising of lidar point clouds corrupted by snowfall
N. Charron, S. Phillips, and S. L. Waslander
Conference on Computer and Robot Vision (CRV), 2018
⦁ Encoderless gimbal calibration of dynamic multi-camera clusters
C. L. Choi, J. Rebello, L. Koppel, P. Ganti, A. Das, and S. L. Waslander
International Conference on Robotics and Automation (ICRA), 2018
⦁ Manifold geometry with fast automatic derivatives and coordinate frame semantics checking in c++
L. Koppel and S. L. Waslander
Conference on Computer and Robot Vision (CRV, Best Paper), 2018.
⦁ In defense of classical image processing: Fast depth completion on the cpu
J. Ku, A. Harakeh, and S. L. Waslander
Conference on Computer and Robot Vision (CRV), 2018
⦁ Deep learning a quadrotor dynamic model for multi-step prediction
N. Mohajerin, M. Mozifian, and S. L. Waslander
International Conference on Robotics and Automation (ICRA), 2018
⦁ A hierarchical deep architecture and mini-batch selection method for joint traffic sign and light detection
A. Pon, O. Andrienko, A. Harakeh, and S. L. Waslander
Conference on Computer and Robot Vision (CRV), 2018