Steven L. Waslander

158 papers A* 23A 8C 9Misc 1Journal 86Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit. IEEE Robotics Autom. Lett. Selina Leveugle, Chang Won Lee, Svetlana Stolpner, Chris Langley, Paul Grouchy, Steven L. Waslander, Jonathan Kelly
2026	J	`jnl`	CLIP Is Shortsighted: Paying Attention Beyond the First Sentence. CoRR Marc-Antoine Lavoie, Anas Mahmoud, Aldo Zaimi, Arsène Fansi Tchango, Steven L. Waslander
2026	J	`jnl`	Contour Refinement using Discrete Diffusion in Low Data Regime. CoRR Fei Yu Guan, Ian Keefe, Sophie Wilkinson, Daniel D. B. Perrakis, Steven L. Waslander
2026	J	`jnl`	DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving. CoRR Yang Zhou, Hao Shao, Letian Wang, Zhuofan Zong, Hongsheng Li, Steven L. Waslander
2026	J	`jnl`	SCATR: Mitigating New Instance Suppression in LiDAR-based Tracking-by-Attention via Second Chance Assignment and Track Query Dropout. CoRR Brian Cheong, Letian Wang, Sandro Papais, Steven L. Waslander
2026	J	`jnl`	STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multi-Modal Robot Memory. IEEE Robotics Autom. Lett. Mingfeng Yuan, Hao Zhang, Mahan Mohammadi, Runhao Li, Jinjun Shan, Steven L. Waslander
2026	J	`jnl`	STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multimodal Robot Memory. CoRR Mingfeng Yuan, Hao Zhang, Mahan Mohammadi, Runhao Li, Jinjun Shan, Steven L. Waslander
2026	J	`jnl`	ToaSt: Token Channel Selection and Structured Pruning for Efficient ViT. CoRR Hyunchan Moon, Cheonjun Park, Steven L. Waslander
2025	J	`jnl`	Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames. CoRR Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander
2025	J	`jnl`	Complete Gaussian Splats from a Single Image with Denoising Diffusion Models. CoRR Ziwei Liao, Mohamed Sayed, Steven L. Waslander, Sara Vicente, Daniyar Turmukhambetov, Michael Firman
2025	J	`jnl`	DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration. CoRR Xiangcheng Hu, Xieyuanli Chen, Mingkai Jia, Jin Wu, Ping Tan, Steven L. Waslander
2025	J	`jnl`	ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting. CoRR Sandro Papais, Letian Wang, Brian Cheong, Steven L. Waslander
2025	A*	`conf`	Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection. CVPR Marc-Antoine Lavoie, Anas Mahmoud, Steven L. Waslander
2025	J	`jnl`	Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection. CoRR Marc-Antoine Lavoie, Anas Mahmoud, Steven L. Waslander
2025	A	`conf`	OpenNav: Open-World Navigation with Multimodal Large Language Models. IROS Mingfeng Yuan, Letian Wang, Steven L. Waslander
2025	J	`jnl`	OpenNav: Open-World Navigation with Multimodal Large Language Models. CoRR Mingfeng Yuan, Letian Wang, Steven L. Waslander
2025	A*	`conf`	PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds. CVPR Barza Nisar, Steven L. Waslander
2025	J	`jnl`	PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds. CoRR Barza Nisar, Steven L. Waslander
2025	A*	`conf`	SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. ICLR Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2025	J	`jnl`	aUToPath: Unified Planning and Control for Autonomous Vehicles in Urban Environments Using Hybrid Lattice and Free-Space Search. CoRR Tanmay P. Patel, Connor Wilson, Ellina R. Zhang, Morgan Tran, Chang Keun Paik, Steven L. Waslander, Timothy D. Barfoot
2024	J	`jnl`	ALLO: A Photorealistic Dataset and Data Generation Pipeline for Anomaly Detection During Robotic Proximity Operations in Lunar Orbit. CoRR Selina Leveugle, Chang Won Lee, Svetlana Stolpner, Chris Langley, Paul Grouchy, Steven L. Waslander, Jonathan Kelly
2024	A	`conf`	Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. IROS Jun Yang, Jian Yao, Steven L. Waslander
2024	J	`jnl`	Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander
2024	A*	`conf`	DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. NeurIPS Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus
2024	J	`jnl`	DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus
2024	J	`jnl`	Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows. CoRR Evan D. Cook, Marc-Antoine Lavoie, Steven L. Waslander
2024	J	`jnl`	FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation. CoRR Chang Won Lee, Selina Leveugle, Svetlana Stolpner, Chris Langley, Paul Grouchy, Jonathan Kelly, Steven L. Waslander
2024	—	`conf`	Image-to-Lidar Relational Distillation for Autonomous Driving Data. ECCV (62) Anas Mahmoud, Ali Harakeh, Steven L. Waslander
2024	J	`jnl`	JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention. CoRR Brian Cheong, Jiachen Zhou, Steven L. Waslander
2024	A*	`conf`	LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CVPR Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li
2024	A	`conf`	Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. WACV Ziwei Liao, Steven L. Waslander
2024	A*	`conf`	Multiple View Geometry Transformers for 3D Human Pose Estimation. CVPR Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander
2024	A*	`conf`	SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. ICRA Sandro Papais, Robert Ren, Steven L. Waslander
2024	J	`jnl`	SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. CoRR Sandro Papais, Robert Ren, Steven L. Waslander
2024	J	`jnl`	SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. CoRR Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2024	A*	`conf`	SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CVPR Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2024	J	`jnl`	SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CoRR Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2024	Misc	`conf`	Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. CoRL Ziwei Liao, Binbin Xu, Steven L. Waslander
2024	J	`jnl`	Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. CoRR Ziwei Liao, Binbin Xu, Steven L. Waslander
2024	A*	`conf`	Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. ICRA Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander
2024	A*	`conf`	UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. ICRA Chang Won Lee, Steven L. Waslander
2024	J	`jnl`	UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. CoRR Chang Won Lee, Steven L. Waslander
2023	A*	`conf`	6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. ICRA Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander
2023	J	`jnl`	A Target-Based Extrinsic Calibration Framework for Non-Overlapping Camera-Lidar Systems Using a Motion Capture System. CoRR Nicholas Charron, Steven L. Waslander, Sriram Narasimhan
2023	J	`jnl`	Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. CoRR Jun Yang, Jian Yao, Steven L. Waslander
2023	J	`jnl`	Assessing Distribution Shift in Probabilistic Object Detection Under Adverse Weather. IEEE Access Mathew Hildebrand, Andrew Brown, Stephen Brown, Steven L. Waslander
2023	—	`conf`	Class Instance Balanced Learning for Long-Tailed Classification. CRV Marc-Antoine Lavoie, Steven L. Waslander
2023	J	`jnl`	Class Instance Balanced Learning for Long-Tailed Classification. CoRR Marc-Antoine Lavoie, Steven L. Waslander
2023	A	`conf`	Dense Voxel Fusion for 3D Object Detection. WACV Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander
2023	—	`conf`	Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. Robotics: Science and Systems Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander
2023	J	`jnl`	Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. CoRR Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander
2023	A*	`conf`	Estimating Regression Predictive Distributions with Sample Networks. AAAI Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
2023	—	`conf`	Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CRV Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander
2023	J	`jnl`	Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. CoRR Barza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander
2023	—	`conf`	HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CRV Jenny Xu, Steven L. Waslander
2023	J	`jnl`	HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. CoRR Jenny Xu, Steven L. Waslander
2023	—	`conf`	InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CRV John Willes, Cody Reading, Steven L. Waslander
2023	J	`jnl`	LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CoRR Hao Shao, Yuxuan Hu, Letian Wang, Steven L. Waslander, Yu Liu, Hongsheng Li
2023	J	`jnl`	Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. CoRR Ziwei Liao, Steven L. Waslander
2023	J	`jnl`	Multiple View Geometry Transformers for 3D Human Pose Estimation. CoRR Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander
2023	—	`conf`	Next-Best-View Selection for Robot Eye-in-Hand Calibration. CRV Jun Yang, Jason Rebello, Steven L. Waslander
2023	J	`jnl`	Next-Best-View Selection for Robot Eye-in-Hand Calibration. CoRR Jun Yang, Jason Rebello, Steven L. Waslander
2023	—	`conf`	POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. Robotics: Science and Systems Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig
2023	J	`jnl`	POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. CoRR Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig
2023	—	`conf`	ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CRV Jacob Deery, Chang Won Lee, Steven L. Waslander
2023	J	`jnl`	ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. CoRR Jacob Deery, Chang Won Lee, Steven L. Waslander
2023	A*	`conf`	ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CVPR Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
2023	J	`jnl`	ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CoRR Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
2023	A*	`conf`	Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CVPR Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
2023	J	`jnl`	Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CoRR Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
2023	J	`jnl`	Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. CoRR Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander
2022	J	`jnl`	6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. CoRR Jun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander
2022	J	`jnl`	A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer
2022	J	`jnl`	Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks. CoRR Kinjal Patel, Steven L. Waslander
2022	J	`jnl`	Dense Voxel Fusion for 3D Object Detection. CoRR Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander
2022	J	`jnl`	Estimating Regression Predictive Distributions with Sample Networks. CoRR Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
2022	J	`jnl`	InterTrack: Interaction Transformer for 3D Multi-Object Tracking. CoRR John Willes, Cody Reading, Steven L. Waslander
2022	C	`conf`	LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander
2022	A*	`conf`	Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. ICRA Jun Yang, Steven L. Waslander
2022	J	`jnl`	Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. CoRR Jun Yang, Steven L. Waslander
2022	—	`conf`	POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. Robotics: Science and Systems Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander
2022	J	`jnl`	POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. CoRR Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander
2022	A*	`conf`	Point Density-Aware Voxels for LiDAR 3D Object Detection. CVPR Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander
2022	J	`jnl`	Point Density-Aware Voxels for LiDAR 3D Object Detection. CoRR Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander
2022	—	`conf`	Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CRV Samuel Looper, Steven L. Waslander
2021	A*	`conf`	Categorical Depth Distribution Network for Monocular 3D Object Detection. CVPR Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander
2021	J	`jnl`	Categorical Depth Distribution Network for Monocular 3D Object Detection. CoRR Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander
2021	J	`jnl`	Controller Class for Rigid Body Tracking on $\mathsf {SO}(3)$. IEEE Trans. Autom. Control. Adeel Akhtar, Steven L. Waslander
2021	—	`conf`	DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration. ICCVW Jason Rebello, Chunshang Li, Steven L. Waslander
2021	A*	`conf`	Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. ICLR Ali Harakeh, Steven L. Waslander
2021	J	`jnl`	Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. CoRR Ali Harakeh, Steven L. Waslander
2021	J	`jnl`	Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. CoRR Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly
2021	J	`jnl`	Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. IEEE Robotics Autom. Lett. Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly
2021	—	`conf`	Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. ITSC Jordan S. K. Hu, Steven L. Waslander
2021	J	`jnl`	Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. CoRR Jordan S. K. Hu, Steven L. Waslander
2021	J	`jnl`	Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. CoRR Jun Yang, Dong Li, Steven L. Waslander
2021	J	`jnl`	Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. IEEE Robotics Autom. Lett. Jun Yang, Dong Li, Steven L. Waslander
2021	A	`conf`	ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. IROS Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander
2021	J	`jnl`	ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. CoRR Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander
2021	—	`conf`	Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection. CRV Anas Mahmoud, Steven L. Waslander
2021	J	`jnl`	Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. CoRR Samuel Looper, Steven L. Waslander
2021	J	`jnl`	Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. IEEE Robotics Autom. Lett. Shatil Rahman, Steven L. Waslander
2021	—	`conf`	UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. ITSC Juan Carrillo, Steven L. Waslander
2021	J	`jnl`	UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. CoRR Juan Carrillo, Steven L. Waslander
2020	J	`jnl`	A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. CoRR Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer
2020	A*	`conf`	AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM. ICRA Jason Rebello, Angus Fung, Steven L. Waslander
2020	A*	`conf`	BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. ICRA Ali Harakeh, Michael Smart, Steven L. Waslander
2020	A	`conf`	Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. IROS Chengyao Li, Jason Ku, Steven L. Waslander
2020	J	`jnl`	Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. CoRR Chengyao Li, Jason Ku, Steven L. Waslander
2020	—	`conf`	Controller-Aware Path optimization for Enhancing Path Tracking Performance. ITSC Wei Wang, Huiyan Chen, Steven L. Waslander, Jiangnan Li, Jianwei Gong
2020	C	`conf`	Feedback Linearizing Controllers on SO(3) using a Global Parametrization. ACC Adeel Akhtar, Sajid Saleem, Steven L. Waslander
2020	—	`conf`	Leveraging Temporal Data for Automatic Labelling of Static Vehicles. CRV Sean Walsh, Jason Ku, Alex D. Pon, Steven L. Waslander
2020	J	`jnl`	Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors. CoRR 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
2020	A*	`conf`	Object-Centric Stereo Matching for 3D Object Detection. ICRA Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander
2020	J	`jnl`	Path Following for a Class of Underactuated Systems Using Global Parameterization. IEEE Access Adeel Akhtar, Sajid Saleem, Steven L. Waslander
2020	—	`conf`	Towards End-to-end Learning of Visual Inertial Odometry with an EKF. CRV Chunshang Li, Steven L. Waslander
2020	C	`conf`	TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
2020	J	`jnl`	Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. CoRR Shatil Rahman, Steven L. Waslander
2020	J	`jnl`	Vehicle Scheduling Problem. CoRR Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba
2019	J	`jnl`	3D traffic flow model for UAVs. CoRR Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander
2019	J	`jnl`	BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. CoRR Ali Harakeh, Michael Smart, Steven L. Waslander
2019	A	`conf`	Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. IROS Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander
2019	J	`jnl`	Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. CoRR Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander
2019	A*	`conf`	Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CVPR Jason Ku, Alex D. Pon, Steven L. Waslander
2019	J	`jnl`	Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. CoRR Jason Ku, Alex D. Pon, Steven L. Waslander
2019	J	`jnl`	Multistep Prediction of Dynamic Systems With Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Nima Mohajerin, Steven L. Waslander
2019	—	`conf`	Network Uncertainty Informed Semantic Feature Selection for Visual SLAM. CRV Pranav Ganti, Steven L. Waslander
2019	J	`jnl`	Object-Centric Stereo Matching for 3D Object Detection. CoRR Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander
2019	C	`conf`	Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. IV Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander
2019	J	`jnl`	Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. CoRR Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander
2019	J	`jnl`	TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander
2019	—	`conf`	Visual Measurement Integrity Monitoring for UAV Localization. SSRR Chengyao Li, Steven L. Waslander
2019	J	`jnl`	Visual Measurement Integrity Monitoring for UAV Localization. CoRR Chengyao Li, Steven L. Waslander
2019	—	`conf`	aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. CRV Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig
2019	J	`jnl`	aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. CoRR Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig
2018	—	`conf`	A Flexible Simulation and Design Environment for IMU/GNSS Sensors Integration. MWSCAS Soroush Sheikhpour, Mohamed M. Atia, Steven L. Waslander
2018	—	`conf`	A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection. CRV Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven L. Waslander
2018	J	`jnl`	Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings. CoRR Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L. Waslander
2018	—	`conf`	De-noising of Lidar Point Clouds Corrupted by Snowfall. CRV Nicholas Charron, Stephen Phillips, Steven L. Waslander
2018	A*	`conf`	Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. ICRA Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander
2018	J	`jnl`	Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. CoRR Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander
2018	J	`jnl`	Hybrid Trajectory Planning for Autonomous Driving in Highly Constrained Environments. IEEE Access Yu Zhang, Huiyan Chen, Steven L. Waslander, Jianwei Gong, Guangming Xiong, Tian Yang, Kai Liu
2018	—	`conf`	In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CRV Jason Ku, Ali Harakeh, Steven L. Waslander
2018	A	`conf`	Joint 3D Proposal Generation and Object Detection from View Aggregation. IROS Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander
2018	J	`jnl`	Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation. CoRR Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander
2018	—	`conf`	Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. ITSC Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander
2018	—	`conf`	Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. CRV Leonid Koppel, Steven L. Waslander
2018	—	`conf`	Speed Planning for Autonomous Driving via Convex Optimization. ITSC Yu Zhang, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu
2018	J	`jnl`	Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex Optimization. Sensors Yu Zhang, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu
2018	J	`jnl`	Visual SLAM with Network Uncertainty Informed Feature Selection. CoRR Pranav Ganti, Steven L. Waslander
2012	—	`conf`	Way-point navigation for a skid-steer vehicle in unknown environments. Intelligent Robots and Computer Vision: Algorithms and Techniques Peiyi Chen, Arun Das, Prasenjit Mukherjee, Steven L. Waslander
2011	C	`conf`	Nonlinear aircraft modeling and controller design for target tracking. ACC Yassir Rizwan, Steven L. Waslander, Christopher Nielsen
2010	C	`conf`	Position control of a 6×6 ATV using a MIMO fuzzy controller. ACC Ryan Gariepy, Steven L. Waslander
2010	C	`conf`	Spiral Bacterial Foraging Optimization method. ACC Alireza Kasaiezadeh, Amir Khajepour, Steven L. Waslander
2007	C	`conf`	Convergence of Lump-Sum Markets with Price-Anticipating Agents. ACC Steven L. Waslander, Claire J. Tomlin
2006	—	`conf`	Efficient Market-Based Air Traffic Flow Control with Competing Airlines. CDC Steven L. Waslander, Claire J. Tomlin
2006	—	`conf`	Mutual Information Methods with Particle Filters for Mobile Sensor Network Control. CDC Gabriel M. Hoffmann, Steven L. Waslander, Claire J. Tomlin
2006	C	`conf`	Toward efficient and equitable distributed air traffic flow control. ACC Steven L. Waslander, Robin L. Raffard, Claire J. Tomlin