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ORCIDSteven Lake Waslander
Steven L. Waslander
Person information
- affiliation: University of Toronto, Institute for Aerospace Studies, ON, Canada
- affiliation (former): University of Waterloo, Department of Mechanical and Mechatronics Engineering, Canada
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2020 – today
- 2024
[j26]John Willes
, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1513-1529 (2024)- [c97]Ziwei Liao, Steven L. Waslander:
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. WACV 2024: 3086-3095 - [i65]Evan D. Cook, Marc-Antoine Lavoie, Steven L. Waslander:
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows. CoRR abs/2402.06537 (2024) - [i64]Chang Won Lee, Steven L. Waslander:
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. CoRR abs/2402.12303 (2024) - [i63]Sandro Papais, Robert Ren, Steven L. Waslander:
SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. CoRR abs/2402.17892 (2024) - [i62]Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CoRR abs/2403.11492 (2024) - 2023
- [j25]Mathew Hildebrand, Andrew Brown, Stephen Brown, Steven L. Waslander:
Assessing Distribution Shift in Probabilistic Object Detection Under Adverse Weather. IEEE Access 11: 44989-45000 (2023) - [c96]Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. AAAI 2023: 7830-7838 - [c95]Daniil Lisus, Connor Holmes, Steven Lake Waslander:
Towards Open World NeRF-Based SLAM. CRV 2023: 37-44 - [c94]John Willes, Cody Reading, Steven L. Waslander:
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CRV 2023: 73-80 - [c93]Marc-Antoine Lavoie, Steven L. Waslander:
Class Instance Balanced Learning for Long-Tailed Classification. CRV 2023: 121-128 - [c92]Jacob Deery, Chang Won Lee, Steven L. Waslander:
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CRV 2023: 137-144 - [c91]Jun Yang, Jason Rebello, Steven L. Waslander:
Next-Best-View Selection for Robot Eye-in-Hand Calibration. CRV 2023: 161-168 - [c90]Jenny Xu, Steven L. Waslander:
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CRV 2023: 217-224 - [c89]Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander:
Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CRV 2023: 304-311 - [c88]Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CVPR 2023: 7102-7110 - [c87]Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu:
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CVPR 2023: 13723-13733 - [c86]Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander:
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. ICRA 2023: 2905-2912 - [c85]Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig:
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. Robotics: Science and Systems 2023 - [c84]Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. Robotics: Science and Systems 2023 - [c83]Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander:
Dense Voxel Fusion for 3D Object Detection. WACV 2023: 663-672 - [i61]Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CoRR abs/2301.05709 (2023) - [i60]Jun Yang, Jason Rebello, Steven L. Waslander:
Next-Best-View Selection for Robot Eye-in-Hand Calibration. CoRR abs/2303.06766 (2023) - [i59]Nicholas Charron, Steven L. Waslander, Sriram Narasimhan:
A Target-Based Extrinsic Calibration Framework for Non-Overlapping Camera-Lidar Systems Using a Motion Capture System. CoRR abs/2303.10729 (2023) - [i58]Jacob Deery, Chang Won Lee, Steven L. Waslander:
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CoRR abs/2304.08645 (2023) - [i57]Jenny Xu, Steven L. Waslander:
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CoRR abs/2304.14446 (2023) - [i56]Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander:
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CoRR abs/2304.14460 (2023) - [i55]Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. CoRR abs/2305.04412 (2023) - [i54]Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu:
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CoRR abs/2305.10507 (2023) - [i53]Ziwei Liao, Steven L. Waslander:
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. CoRR abs/2306.11739 (2023) - [i52]Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig:
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. CoRR abs/2307.00488 (2023) - [i51]Marc-Antoine Lavoie, Steven L. Waslander:
Class Instance Balanced Learning for Long-Tailed Classification. CoRR abs/2307.05322 (2023) - [i50]Jun Yang, Jian Yao, Steven L. Waslander:
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. CoRR abs/2308.14665 (2023) - [i49]Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander:
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. CoRR abs/2309.09118 (2023) - [i48]Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander:
Multiple View Geometry Transformers for 3D Human Pose Estimation. CoRR abs/2311.10983 (2023) - [i47]Hao Shao, Yuxuan Hu, Letian Wang, Steven L. Waslander, Yu Liu, Hongsheng Li:
LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CoRR abs/2312.07488 (2023) - 2022
- [j24]Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer:
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(8): 9961-9980 (2022) - [c82]Samuel Looper, Steven L. Waslander:
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CRV 2022: 32-39 - [c81]Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander:
Point Density-Aware Voxels for LiDAR 3D Object Detection. CVPR 2022: 8459-8468 - [c80]Jun Yang, Steven L. Waslander:
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. ICRA 2022: 3684-3690 - [c79]Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV 2022: 813-820 - [c78]Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander:
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. Robotics: Science and Systems 2022 - [i46]Kinjal Patel, Steven L. Waslander:
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks. CoRR abs/2202.09664 (2022) - [i45]Jun Yang, Steven L. Waslander:
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. CoRR abs/2202.13263 (2022) - [i44]Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander:
Dense Voxel Fusion for 3D Object Detection. CoRR abs/2203.00871 (2022) - [i43]Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander:
Point Density-Aware Voxels for LiDAR 3D Object Detection. CoRR abs/2203.05662 (2022) - [i42]Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander:
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. CoRR abs/2205.01202 (2022) - [i41]Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven Lake Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. CoRR abs/2206.00214 (2022) - [i40]John Willes, Cody Reading, Steven L. Waslander:
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CoRR abs/2208.08041 (2022) - [i39]Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander:
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. CoRR abs/2210.11554 (2022) - [i38]Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. CoRR abs/2211.13724 (2022) - 2021
- [j23]Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander:
Canadian Adverse Driving Conditions dataset. Int. J. Robotics Res. 40(4-5) (2021) - [j22]Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. IEEE Robotics Autom. Lett. 6(2): 2028-2035 (2021) - [j21]Shatil Rahman, Steven L. Waslander:
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. IEEE Robotics Autom. Lett. 6(2): 3112-3119 (2021) - [j20]Jun Yang, Dong Li, Steven L. Waslander:
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. IEEE Robotics Autom. Lett. 6(3): 4472-4479 (2021) - [j19]Adeel Akhtar, Steven L. Waslander:
Controller Class for Rigid Body Tracking on $\mathsf {SO}(3)$. IEEE Trans. Autom. Control. 66(5): 2234-2241 (2021) - [c77]Anas Mahmoud, Steven L. Waslander:
Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection. CRV 2021: 9-16 - [c76]Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. CVPR 2021: 8555-8564 - [c75]Jason Rebello, Chunshang Li, Steven L. Waslander:
DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration. ICCVW 2021: 2559-2568 - [c74]Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. ICLR 2021 - [c73]Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander:
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. IROS 2021: 9788-9795 - [c72]Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. ITSC 2021: 2703-2710 - [c71]Juan Carrillo, Steven L. Waslander:
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. ITSC 2021: 3799-3806 - [i37]Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. CoRR abs/2101.05036 (2021) - [i36]Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. CoRR abs/2102.04341 (2021) - [i35]Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. CoRR abs/2103.01100 (2021) - [i34]Jun Yang, Dong Li, Steven L. Waslander:
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. CoRR abs/2103.10968 (2021) - [i33]Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander:
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. CoRR abs/2105.04112 (2021) - [i32]John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. CoRR abs/2107.13682 (2021) - [i31]Samuel Looper, Steven L. Waslander:
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CoRR abs/2110.04182 (2021) - [i30]Juan Carrillo, Steven L. Waslander:
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. CoRR abs/2110.05561 (2021) - [i29]Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. CoRR abs/2112.00050 (2021) - 2020
- [j18]Adeel Akhtar, Sajid Saleem, Steven L. Waslander:
Path Following for a Class of Underactuated Systems Using Global Parameterization. IEEE Access 8: 34737-34749 (2020) - [c70]Adeel Akhtar, Sajid Saleem, Steven L. Waslander:
Feedback Linearizing Controllers on SO(3) using a Global Parametrization. ACC 2020: 1441-1446 - [c69]Sean Walsh, Jason Ku, Alex D. Pon, Steven L. Waslander:
Leveraging Temporal Data for Automatic Labelling of Static Vehicles. CRV 2020: 134-141 - [c68]Chunshang Li, Steven L. Waslander:
Towards End-to-end Learning of Visual Inertial Odometry with an EKF. CRV 2020: 190-197 - [c67]Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. ICRA 2020: 87-93 - [c66]Jason Rebello, Angus Fung, Steven L. Waslander:
AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM. ICRA 2020: 6035-6041 - [c65]Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander:
Object-Centric Stereo Matching for 3D Object Detection. ICRA 2020: 8383-8389 - [c64]Chengyao Li, Jason Ku, Steven L. Waslander:
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. IROS 2020: 5776-5783 - [c63]Wei Wang, Huiyan Chen, Steven L. Waslander, Jiangnan Li, Jianwei Gong:
Controller-Aware Path optimization for Enhancing Path Tracking Performance. ITSC 2020: 1-7 - [c62]Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV 2020: 341-347 - [i28]Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba:
Vehicle Scheduling Problem. CoRR abs/2001.09297 (2020) - [i27]Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander:
Canadian Adverse Driving Conditions Dataset. CoRR abs/2001.10117 (2020) - [i26]Chengyao Li, Jason Ku, Steven L. Waslander:
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. CoRR abs/2003.05505 (2020) - [i25]Tim D. Barfoot, Jessica Burgner-Kahrs, Eric D. Diller, Animesh Garg, Andrew A. Goldenberg, Jonathan Kelly, Xinyu Liu, Hani E. Naguib, Goldie Nejat, Angela P. Schoellig, Florian Shkurti, Hallie Siegel, Yu Sun, Steven L. Waslander:
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors. CoRR abs/2009.08577 (2020) - [i24]Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer:
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. CoRR abs/2011.10671 (2020) - [i23]Shatil Rahman, Steven L. Waslander:
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. CoRR abs/2012.00218 (2020)
2010 – 2019
- 2019
- [j17]Nima Mohajerin, Steven L. Waslander:
Multistep Prediction of Dynamic Systems With Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3370-3383 (2019) - [c61]Pranav Ganti, Steven L. Waslander:
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM. CRV 2019: 121-128 - [c60]Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig:
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. CRV 2019: 209-216 - [c59]Jason Ku, Alex D. Pon, Steven L. Waslander:
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CVPR 2019: 11867-11876 - [c58]Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander:
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. IROS 2019: 3459-3466 - [c57]Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. IV 2019: 2522-2529 - [c56]Chengyao Li, Steven L. Waslander:
Visual Measurement Integrity Monitoring for UAV Localization. SSRR 2019: 22-29 - [i22]Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. CoRR abs/1903.03838 (2019) - [i21]Jason Ku, Alex D. Pon, Steven L. Waslander:
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CoRR abs/1904.01690 (2019) - [i20]Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. CoRR abs/1905.00160 (2019) - [i19]Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig:
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. CoRR abs/1905.08758 (2019) - [i18]Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander:
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. CoRR abs/1907.06777 (2019) - [i17]Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander:
3D traffic flow model for UAVs. CoRR abs/1909.04838 (2019) - [i16]Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander:
Object-Centric Stereo Matching for 3D Object Detection. CoRR abs/1909.07566 (2019) - [i15]Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR abs/1909.07867 (2019) - [i14]Chengyao Li, Steven L. Waslander:
Visual Measurement Integrity Monitoring for UAV Localization. CoRR abs/1909.08537 (2019) - 2018
- [j16]Yu Zhang, Huiyan Chen, Steven L. Waslander, Jianwei Gong, Guangming Xiong, Tian Yang, Kai Liu:
Hybrid Trajectory Planning for Autonomous Driving in Highly Constrained Environments. IEEE Access 6: 32800-32819 (2018) - [j15]Yu Zhang, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu:
Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex Optimization. Sensors 18(7): 2185 (2018) - [c55]Jason Ku, Ali Harakeh, Steven L. Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CRV 2018: 16-22 - [c54]Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven L. Waslander:
A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection. CRV 2018: 102-109 - [c53]Leonid Koppel, Steven L. Waslander:
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. CRV 2018: 126-133 - [c52]Nicholas Charron, Stephen Phillips, Steven L. Waslander:
De-noising of Lidar Point Clouds Corrupted by Snowfall. CRV 2018: 254-261 - [c51]Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander:
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. ICRA 2018: 2126-2133 - [c50]Nima Mohajerin, Melissa Mozifian, Steven Lake Waslander:
Deep Learning a Quadrotor Dynamic Model for Multi-Step Prediction. ICRA 2018: 2454-2459 - [c49]Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander:
Joint 3D Proposal Generation and Object Detection from View Aggregation. IROS 2018: 1-8 - [c48]Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. ITSC 2018: 985-992 - [c47]Yu Zhang, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu:
Speed Planning for Autonomous Driving via Convex Optimization. ITSC 2018: 1089-1094 - [c46]Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. ITSC 2018: 2504-2510 - [c45]Soroush Sheikhpour, Mohamed M. Atia, Steven L. Waslander:
A Flexible Simulation and Design Environment for IMU/GNSS Sensors Integration. MWSCAS 2018: 472-475 - [i13]Jason Ku, Ali Harakeh, Steven Lake Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CoRR abs/1802.00036 (2018) - [i12]Leonid Koppel, Steven Lake Waslander:
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. CoRR abs/1805.01810 (2018) - [i11]Nima Mohajerin, Steven Lake Waslander:
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks. CoRR abs/1806.00526 (2018) - [i10]Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven Lake Waslander:
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection. CoRR abs/1806.07987 (2018) - [i9]Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. CoRR abs/1807.06056 (2018) - [i8]Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation. CoRR abs/1807.06072 (2018) - [i7]Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander:
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. CoRR abs/1807.09304 (2018) - [i6]Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L. Waslander:
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings. CoRR abs/1807.09532 (2018) - [i5]Pranav Ganti, Steven L. Waslander:
Visual SLAM with Network Uncertainty Informed Feature Selection. CoRR abs/1811.11946 (2018) - 2017
- [j14]James Servos, Steven Lake Waslander:
Multi-Channel Generalized-ICP: A robust framework for multi-channel scan registration. Robotics Auton. Syst. 87: 247-257 (2017) - [c44]Devinder Kumar, Helmut Neher, Arun Das, David A. Clausi, Steven Lake Waslander:
Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN. CRV 2017: 32-39 - [c43]Nima Mohajerin, Steven Lake Waslander:
State initialization for recurrent neural network modeling of time-series data. IJCNN 2017: 2330-2337 - [c42]Jason Rebello, Arun Das, Steven Lake Waslander:
Autonomous active calibration of a dynamic camera cluster using next-best-view. IROS 2017: 1484-1489 - [c41]Assylbek Dakibay, Steven Lake Waslander:
Aggressive vehicle control using polynomial spiral curves. ITSC 2017: 1-7 - [c40]Atrisha Sarkar, Krzysztof Czarnecki, Matt Angus, Changjian Li, Steven Lake Waslander:
Trajectory prediction of traffic agents at urban intersections through learned interactions. ITSC 2017: 1-8 - [i4]Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven Lake Waslander:
Joint 3D Proposal Generation and Object Detection from View Aggregation. CoRR abs/1712.02294 (2017) - 2016
- [j13]Mirmojtaba Gharibi, Raouf Boutaba, Steven Lake Waslander:
Internet of Drones. IEEE Access 4: 1148-1162 (2016) - [j12]Michael J. Tribou, David W. L. Wang, Steven Lake Waslander:
Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view. Image Vis. Comput. 50: 27-41 (2016) - [j11]Siddhant Ahuja, Peter Iles, Steven Lake Waslander:
Three-dimensional Scan Registration using Curvelet Features in Planetary Environments. J. Field Robotics 33(2): 243-259 (2016) - [c39]Stanley Brown, Steven Lake Waslander:
The constriction decomposition method for coverage path planning. IROS 2016: 3233-3238 - [c38]Arun Das, Steven Lake Waslander:
Calibration of a dynamic camera cluster for multi-camera visual SLAM. IROS 2016: 4637-4642 - [i3]Mirmojtaba Gharibi, Raouf Boutaba, Steven Lake Waslander:
Internet of Drones. CoRR abs/1601.01289 (2016) - 2015
- [j10]John Michael Daly, Yan Ma, Steven Lake Waslander:
Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays. Auton. Robots 38(2): 179-191 (2015) - [j9]Michael J. Tribou, Adam Harmat, David W. L. Wang, Inna Sharf, Steven Lake Waslander:
Multi-camera parallel tracking and mapping with non-overlapping fields of view. Int. J. Robotics Res. 34(12): 1480-1500 (2015) - [j8]Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
Planning Paths for Package Delivery in Heterogeneous Multirobot Teams. IEEE Trans Autom. Sci. Eng. 12(4): 1298-1308 (2015) - [j7]Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
Multirobot Rendezvous Planning for Recharging in Persistent Tasks. IEEE Trans. Robotics 31(1): 128-142 (2015) - [j6]Adeel Akhtar, Christopher Nielsen, Steven Lake Waslander:
Path Following Using Dynamic Transverse Feedback Linearization for Car-Like Robots. IEEE Trans. Robotics 31(2): 269-279 (2015) - [c37]Arun Das, Devinder Kumar, Abdelhamid El Bably, Steven Lake Waslander:
Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments. FSR 2015: 345-359 - [c36]Arun Das, Steven Lake Waslander:
Entropy based keyframe selection for Multi-Camera Visual SLAM. IROS 2015: 3676-3681 - [c35]Sirui Song, Andy Wong, Jan Paul Huissoon, Steven Lake Waslander:
Autonomous Vehicle Control Near the Limit of Friction. ITSC 2015: 1008-1013 - [c34]Michael Smart, Steven Lake Waslander:
Stereo Augmented Detection of Lane Marking Boundaries. ITSC 2015: 2491-2496 - [c33]Nima Mohajerin, Steven Lake Waslander:
Modelling a Quadrotor Vehicle Using a Modular Deep Recurrent Neural Network. SMC 2015: 376-381 - [i2]Michael J. Tribou, David W. L. Wang, Steven Lake Waslander:
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View. CoRR abs/1506.07597 (2015) - [i1]Siddhant Ahuja, Peter Iles, Steven Lake Waslander:
3D Scan Registration using Curvelet Features in Planetary Environments. CoRR abs/1509.07075 (2015) - 2014
- [j5]Michael J. Tribou, Steven Lake Waslander, David W. L. Wang:
Scale recovery in multicamera cluster SLAM with non-overlapping fields of view. Comput. Vis. Image Underst. 126: 53-66 (2014) - [j4]Arun Das, Steven Lake Waslander:
Scan registration using segmented region growing NDT. Int. J. Robotics Res. 33(13): 1645-1663 (2014) - [j3]Arun Das, Michael Diu, Neil Mathew, Christian Scharfenberger, James Servos, Andy Wong, John S. Zelek, David A. Clausi, Steven Lake Waslander:
Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration. J. Field Robotics 31(1): 75-106 (2014) - [c32]Kevin Ling, Derek Chow, Arun Das, Steven Lake Waslander:
Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles. CRV 2014: 32-39 - [c31]Siddhant Ahuja, Steven Lake Waslander:
3D Scan Registration Using Curvelet Features. CRV 2014: 77-83 - [c30]Arun Das, Steven Lake Waslander:
Outlier rejection for visual odometry using parity space methods. ICRA 2014: 3613-3618 - [c29]James Servos, Steven Lake Waslander:
Multi channel generalized-ICP. ICRA 2014: 3644-3649 - [c28]Dinuka M. W. Abeywardena, Zhan Wang, Gamini Dissanayake, Steven Lake Waslander, Sarath Kodagoda:
Model-aided state estimation for quadrotor micro air vehicles amidst wind disturbances. IROS 2014: 4813-4818 - [c27]Feyyaz Emre Sancar, Baris Fidan, Jan Paul Huissoon, Steven Lake Waslander:
MPC based collaborative adaptive cruise control with rear end collision avoidance. Intelligent Vehicles Symposium 2014: 516-521 - [c26]Sirui Song, Michael Chi Kam Chun, Jan Paul Huissoon, Steven Lake Waslander:
Pneumatic trail based slip angle observer with Dugoff tire model. Intelligent Vehicles Symposium 2014: 1127-1132 - [c25]Nima Mohajerin, Steven Lake Waslander:
Modular deep Recurrent Neural Network: Application to quadrotors. SMC 2014: 1374-1379 - [c24]Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
Optimal Path Planning in Cooperative Heterogeneous Multi-robot Delivery Systems. WAFR 2014: 407-423 - 2013
- [c23]Adeel Akhtar, Steven Lake Waslander, Christopher Nielsen:
Fault tolerant path following for a quadrotor. CDC 2013: 847-852 - [c22]Christian Scharfenberger, Steven Lake Waslander, John S. Zelek, David A. Clausi:
Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features. CRV 2013: 75-82 - [c21]Peiyi Chen, Thomas Reidemeister, Sebastian Fischmeister, Yassir Rizwan, Steven Lake Waslander:
Hexacopters for everyone: online access to advanced robotics platforms for your research. ICCPS 2013: 247 - [c20]Arun Das, James Servos, Steven Lake Waslander:
3D scan registration using the Normal Distributions Transform with ground segmentation and point cloud clustering. ICRA 2013: 2207-2212 - [c19]Neil Mathew, Stephen L. Smith, Steven Lake Waslander:
A graph-based approach to multi-robot rendezvous for recharging in persistent tasks. ICRA 2013: 3497-3502 - [c18]James Servos, Michael Smart, Steven Lake Waslander:
Underwater stereo SLAM with refraction correction. IROS 2013: 3350-3355 - 2012
- [j2]Michele Bristow, Kaan Erkorkmaz, Jan Paul Huissoon, Soo Jeon, William S. Owen, Steven Lake Waslander, Gordon D. Stubley:
A Control Systems Concept Inventory Test Design and Assessment. IEEE Trans. Educ. 55(2): 203-212 (2012) - [c17]Adeel Akhtar, Steven Lake Waslander, Christopher Nielsen:
Path following for a quadrotor using dynamic extension and transverse feedback linearization. CDC 2012: 3551-3556 - [c16]Peiyi Chen, Arun Das, Prasenjit Mukherjee, Steven L. Waslander:
Way-point navigation for a skid-steer vehicle in unknown environments. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 83010N - [c15]John Michael Daly, Michael J. Tribou, Steven Lake Waslander:
A nonlinear path following controller for an underactuated unmanned surface vessel. IROS 2012: 82-87 - [c14]Arun Das, Steven Lake Waslander:
Scan registration with multi-scale k-means normal distributions transform. IROS 2012: 2705-2710 - 2011
- [c13]Mohammad Azam Javed, Jonathan Spike, Steven Lake Waslander, William W. Melek, William S. Owen:
Argo Vehicle Simulation of Motion Driven 3D LIDAR Detection and Environment Awareness. AIS 2011: 284-293 - [c12]Yassir Rizwan, Steven L. Waslander, Christopher Nielsen:
Nonlinear aircraft modeling and controller design for target tracking. ACC 2011: 3191-3196 - [c11]John Michael Daly, Yan Ma, Steven Lake Waslander:
Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays. IROS 2011: 4961-4966 - 2010
- [c10]Alireza Kasaiezadeh, Amir Khajepour, Steven L. Waslander:
Spiral Bacterial Foraging Optimization method. ACC 2010: 4845-4850 - [c9]Ryan Gariepy, Steven L. Waslander:
Position control of a 6×6 ATV using a MIMO fuzzy controller. ACC 2010: 6943-6948
2000 – 2009
- 2009
- [c8]Haomiao Huang, Gabriel M. Hoffmann, Steven Lake Waslander, Claire J. Tomlin:
Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering. ICRA 2009: 3277-3282 - [c7]Gabriel M. Hoffmann, Steven Lake Waslander, Michael P. Vitus, Haomiao Huang, Jeremy H. Gillula, Vijay Pradeep, Claire J. Tomlin:
Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control. IROS 2009: 404-405 - 2008
- [j1]Steven Lake Waslander, Kaushik Roy, Ramesh Johari, Claire J. Tomlin:
Lump-Sum Markets for Air Traffic Flow Control With Competitive Airlines. Proc. IEEE 96(12): 2113-2130 (2008) - [c6]Michael P. Vitus, Steven Lake Waslander, Claire J. Tomlin:
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm. CDC 2008: 540-545 - 2007
- [c5]Steven L. Waslander, Claire J. Tomlin:
Convergence of Lump-Sum Markets with Price-Anticipating Agents. ACC 2007: 468-473 - 2006
- [c4]Steven L. Waslander, Robin L. Raffard, Claire J. Tomlin:
Toward efficient and equitable distributed air traffic flow control. ACC 2006: 1-6 - [c3]Gabriel M. Hoffmann, Steven L. Waslander, Claire J. Tomlin:
Mutual Information Methods with Particle Filters for Mobile Sensor Network Control. CDC 2006: 1019-1024 - [c2]Steven L. Waslander, Claire J. Tomlin:
Efficient Market-Based Air Traffic Flow Control with Competing Airlines. CDC 2006: 2843-2848 - 2005
- [c1]Steven Lake Waslander, Gabriel M. Hoffmann, Jung Soon Jang, Claire J. Tomlin:
Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning. IROS 2005: 3712-3717
Coauthor Index
Jordan S. K. Hu
aka: Jordan Sir Kwang Hu
aka: Jordan Sir Kwang Hu
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