Steven L. Waslander

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 110

Top Venues

Publications

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) (2024)
Evan D. Cook, Marc-Antoine Lavoie, Steven L. Waslander
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows. CoRR (2024)
Jun Yang, Jason Rebello, Steven L. Waslander
Next-Best-View Selection for Robot Eye-in-Hand Calibration. CoRR (2023)
Ziwei Liao, Steven L. Waslander
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. CoRR (2023)
Jacob Deery, Chang Won Lee, Steven L. Waslander
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CoRR (2023)
Jenny Xu, Steven L. Waslander
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CRV (2023)
Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CoRR (2023)
Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander
Dense Voxel Fusion for 3D Object Detection. WACV (2023)
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)
Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. CoRR (2023)
Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander
Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CRV (2023)
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)
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 (2023)
Mathew Hildebrand, Andrew Brown, Stephen Brown, Steven L. Waslander
Assessing Distribution Shift in Probabilistic Object Detection Under Adverse Weather. IEEE Access 11 (2023)
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 (2023)
Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. AAAI (2023)
Jenny Xu, Steven L. Waslander
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CoRR (2023)
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 (2023)
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)
Jacob Deery, Chang Won Lee, Steven L. Waslander
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CRV (2023)
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)
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 (2023)
Marc-Antoine Lavoie, Steven L. Waslander
Class Instance Balanced Learning for Long-Tailed Classification. CRV (2023)
Jun Yang, Jason Rebello, Steven L. Waslander
Next-Best-View Selection for Robot Eye-in-Hand Calibration. CRV (2023)
Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CoRR (2023)
Jun Yang, Jian Yao, Steven L. Waslander
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. CoRR (2023)
John Willes, Cody Reading, Steven L. Waslander
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CRV (2023)
Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander
Multiple View Geometry Transformers for 3D Human Pose Estimation. CoRR (2023)
Marc-Antoine Lavoie, Steven L. Waslander
Class Instance Balanced Learning for Long-Tailed Classification. CoRR (2023)
Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. ICRA (2023)
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 (2023)
Jun Yang, Steven L. Waslander
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. ICRA (2022)
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 (2022)
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)
Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV (2022)
Jun Yang, Steven L. Waslander
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. CoRR (2022)
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) (2022)
Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander
Dense Voxel Fusion for 3D Object Detection. CoRR (2022)
Samuel Looper, Steven L. Waslander
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CRV (2022)
John Willes, Cody Reading, Steven L. Waslander
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CoRR (2022)
Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander
Point Density-Aware Voxels for LiDAR 3D Object Detection. CoRR (2022)
Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. CoRR (2022)
Kinjal Patel, Steven L. Waslander
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks. CoRR (2022)
Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander
Point Density-Aware Voxels for LiDAR 3D Object Detection. CVPR (2022)
Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander
6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. CoRR (2022)
Anas Mahmoud, Steven L. Waslander
Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection. CRV (2021)
Shatil Rahman, Steven L. Waslander
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. IEEE Robotics Autom. Lett. 6 (2) (2021)
Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. IROS (2021)
Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander
Categorical Depth Distribution Network for Monocular 3D Object Detection. CoRR (2021)
Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander
Categorical Depth Distribution Network for Monocular 3D Object Detection. CVPR (2021)
Samuel Looper, Steven L. Waslander
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CoRR (2021)
Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. CoRR (2021)
Jordan S. K. Hu, Steven L. Waslander
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. CoRR (2021)
Jun Yang, Dong Li, Steven L. Waslander
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. CoRR (2021)
Adeel Akhtar, Steven L. Waslander
Controller Class for Rigid Body Tracking on $\mathsf {SO}(3)$. IEEE Trans. Autom. Control. 66 (5) (2021)
Jason Rebello, Chunshang Li, Steven L. Waslander
DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration. ICCVW (2021)
Ali Harakeh, Steven L. Waslander
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. ICLR (2021)
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) (2021)
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) (2021)
Ali Harakeh, Steven L. Waslander
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. CoRR (2021)
Juan Carrillo, Steven L. Waslander
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. ITSC (2021)
Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. CoRR (2021)
Jordan S. K. Hu, Steven L. Waslander
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. ITSC (2021)
Juan Carrillo, Steven L. Waslander
UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. CoRR (2021)
Tim D. Barfoot, Jessica Burgner-Kahrs, Eric D. Diller, Animesh Garg, Andrew 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 (2020)
Ali Harakeh, Michael Smart, Steven L. Waslander
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. ICRA (2020)
Shatil Rahman, Steven L. Waslander
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. CoRR (2020)
Chengyao Li, Jason Ku, Steven L. Waslander
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. IROS (2020)
Jason Rebello, Angus Fung, Steven L. Waslander
AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM. ICRA (2020)
Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander
Object-Centric Stereo Matching for 3D Object Detection. ICRA (2020)
Adeel Akhtar, Sajid Saleem, Steven L. Waslander
Path Following for a Class of Underactuated Systems Using Global Parameterization. IEEE Access 8 (2020)
Wei Wang, Huiyan Chen, Steven L. Waslander, Jiangnan Li, Jianwei Gong
Controller-Aware Path optimization for Enhancing Path Tracking Performance. ITSC (2020)
Chunshang Li, Steven L. Waslander
Towards End-to-end Learning of Visual Inertial Odometry with an EKF. CRV (2020)
Sean Walsh, Jason Ku, Alex D. Pon, Steven L. Waslander
Leveraging Temporal Data for Automatic Labelling of Static Vehicles. CRV (2020)
Chengyao Li, Jason Ku, Steven L. Waslander
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. CoRR (2020)
Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba
Vehicle Scheduling Problem. CoRR (2020)
Adeel Akhtar, Sajid Saleem, Steven L. Waslander
Feedback Linearizing Controllers on SO(3) using a Global Parametrization. ACC (2020)
Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. CoRR (2020)
Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV (2020)
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)
Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. IV (2019)
Pranav Ganti, Steven L. Waslander
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM. CRV (2019)
Ali Harakeh, Michael Smart, Steven L. Waslander
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. CoRR (2019)
Jason Ku, Alex D. Pon, Steven L. Waslander
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CoRR (2019)
Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander
3D traffic flow model for UAVs. CoRR (2019)
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)
Jason Ku, Alex D. Pon, Steven L. Waslander
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CVPR (2019)
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 (2019)
Chengyao Li, Steven L. Waslander
Visual Measurement Integrity Monitoring for UAV Localization. SSRR (2019)
Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR (2019)
Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. CoRR (2019)
Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. CoRR (2019)
Chengyao Li, Steven L. Waslander
Visual Measurement Integrity Monitoring for UAV Localization. CoRR (2019)
Nima Mohajerin, Steven L. Waslander
Multistep Prediction of Dynamic Systems With Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (11) (2019)
Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander
Object-Centric Stereo Matching for 3D Object Detection. CoRR (2019)
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)
Leonid Koppel, Steven L. Waslander
Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. CRV (2018)
Pranav Ganti, Steven L. Waslander
Visual SLAM with Network Uncertainty Informed Feature Selection. CoRR (2018)
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 (2018)
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) (2018)

Steven L. Waslander.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Steven L. Waslander