Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning. - Steven Lake Waslander; Gabriel M. Hoffmann; Jung Soon Jang; Claire J. Tomlin (IROS, 2005)

Toward efficient and equitable distributed air traffic flow control. - Steven L. Waslander; Robin L. Raffard; Claire J. Tomlin (ACC, 2006)

Mutual Information Methods with Particle Filters for Mobile Sensor Network Control. - Gabriel M. Hoffmann; Steven L. Waslander; Claire J. Tomlin (CDC, 2006)

Efficient Market-Based Air Traffic Flow Control with Competing Airlines. - Steven L. Waslander; Claire J. Tomlin (CDC, 2006)

Convergence of Lump-Sum Markets with Price-Anticipating Agents. - Steven L. Waslander; Claire J. Tomlin (ACC, 2007)

Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm. - Michael P. Vitus; Steven Lake Waslander; Claire J. Tomlin (CDC, 2008)

Lump-Sum Markets for Air Traffic Flow Control With Competitive Airlines. - Steven Lake Waslander; Kaushik Roy 007; Ramesh Johari; Claire J. Tomlin (Proc. IEEE, 2008)

Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering. - Haomiao Huang; Gabriel M. Hoffmann; Steven Lake Waslander; Claire J. Tomlin (ICRA, 2009)

Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control. - Gabriel M. Hoffmann; Steven Lake Waslander; Michael P. Vitus; Haomiao Huang; Jeremy H. Gillula; Vijay Pradeep; Claire J. Tomlin (IROS, 2009)

Position control of a 6×6 ATV using a MIMO fuzzy controller. - Ryan Gariepy; Steven L. Waslander (ACC, 2010)

Spiral Bacterial Foraging Optimization method. - Alireza Kasaiezadeh; Amir Khajepour; Steven L. Waslander (ACC, 2010)

Argo Vehicle Simulation of Motion Driven 3D LIDAR Detection and Environment Awareness. - Mohammad Azam Javed; Jonathan Spike; Steven Lake Waslander; William W. Melek; William S. Owen (AIS, 2011)

Nonlinear aircraft modeling and controller design for target tracking. - Yassir Rizwan; Steven L. Waslander; Christopher Nielsen (ACC, 2011)

Path following for a quadrotor using dynamic extension and transverse feedback linearization. - Adeel Akhtar; Steven Lake Waslander; Christopher Nielsen (CDC, 2012)

Way-point navigation for a skid-steer vehicle in unknown environments. - Peiyi Chen; Arun Das 005; Prasenjit Mukherjee; Steven L. Waslander (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2012)

A nonlinear path following controller for an underactuated unmanned surface vessel. - John Michael Daly; Michael J. Tribou; Steven Lake Waslander (IROS, 2012)

Scan registration with multi-scale k-means normal distributions transform. - Arun Das 005; Steven Lake Waslander (IROS, 2012)

A Control Systems Concept Inventory Test Design and Assessment. - Michele Bristow; Kaan Erkorkmaz; Jan Paul Huissoon; Soo Jeon; William S. Owen; Steven Lake Waslander; Gordon D. Stubley (IEEE Trans. Educ., 2012)

Fault tolerant path following for a quadrotor. - Adeel Akhtar; Steven Lake Waslander; Christopher Nielsen (CDC, 2013)

Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features. - Christian Scharfenberger; Steven Lake Waslander; John S. Zelek; David A. Clausi (CRV, 2013)

Hexacopters for everyone: online access to advanced robotics platforms for your research. - Peiyi Chen; Thomas Reidemeister; Sebastian Fischmeister; Yassir Rizwan; Steven Lake Waslander (ICCPS, 2013)

3D scan registration using the Normal Distributions Transform with ground segmentation and point cloud clustering. - Arun Das 005; James Servos; Steven Lake Waslander (ICRA, 2013)

A graph-based approach to multi-robot rendezvous for recharging in persistent tasks. - Neil Mathew; Stephen L. Smith 001; Steven Lake Waslander (ICRA, 2013)

Underwater stereo SLAM with refraction correction. - James Servos; Michael Smart; Steven Lake Waslander (IROS, 2013)

3D Scan Registration Using Curvelet Features. - Siddhant Ahuja; Steven Lake Waslander (CRV, 2014)

Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles. - Kevin Ling; Derek Chow; Arun Das 005; Steven Lake Waslander (CRV, 2014)

Outlier rejection for visual odometry using parity space methods. - Arun Das 005; Steven Lake Waslander (ICRA, 2014)

Multi channel generalized-ICP. - James Servos; Steven Lake Waslander (ICRA, 2014)

Model-aided state estimation for quadrotor micro air vehicles amidst wind disturbances. - Dinuka M. W. Abeywardena; Zhan Wang; Gamini Dissanayake; Steven Lake Waslander; Sarath Kodagoda (IROS, 2014)

MPC based collaborative adaptive cruise control with rear end collision avoidance. - Feyyaz Emre Sancar; Baris Fidan; Jan Paul Huissoon; Steven Lake Waslander (Intelligent Vehicles Symposium, 2014)

Pneumatic trail based slip angle observer with Dugoff tire model. - Sirui Song; Michael Chi Kam Chun; Jan Paul Huissoon; Steven Lake Waslander (Intelligent Vehicles Symposium, 2014)

Modular deep Recurrent Neural Network: Application to quadrotors. - Nima Mohajerin; Steven Lake Waslander (SMC, 2014)

Optimal Path Planning in Cooperative Heterogeneous Multi-robot Delivery Systems. - Neil Mathew; Stephen L. Smith 001; Steven Lake Waslander (WAFR, 2014)

Scale recovery in multicamera cluster SLAM with non-overlapping fields of view. - Michael J. Tribou; Steven Lake Waslander; David W. L. Wang (Comput. Vis. Image Underst., 2014)

Scan registration using segmented region growing NDT. - Arun Das 005; Steven Lake Waslander (Int. J. Robotics Res., 2014)

Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration. - Arun Das 005; Michael Diu; Neil Mathew; Christian Scharfenberger; James Servos; Andy Wong; John S. Zelek; David A. Clausi; Steven Lake Waslander (J. Field Robotics, 2014)

Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments. - Arun Das 005; Devinder Kumar; Abdelhamid El Bably; Steven Lake Waslander (FSR, 2015)

Entropy based keyframe selection for Multi-Camera Visual SLAM. - Arun Das 005; Steven Lake Waslander (IROS, 2015)

Stereo Augmented Detection of Lane Marking Boundaries. - Michael Smart; Steven Lake Waslander (ITSC, 2015)

Autonomous Vehicle Control Near the Limit of Friction. - Sirui Song; Andy Wong; Jan Paul Huissoon; Steven Lake Waslander (ITSC, 2015)

Modelling a Quadrotor Vehicle Using a Modular Deep Recurrent Neural Network. - Nima Mohajerin; Steven Lake Waslander (SMC, 2015)

Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays. - John Michael Daly; Yan Ma; Steven Lake Waslander (Auton. Robots, 2015)

3D Scan Registration using Curvelet Features in Planetary Environments. - Siddhant Ahuja; Peter Iles; Steven Lake Waslander (CoRR, 2015)

Multi-camera parallel tracking and mapping with non-overlapping fields of view. - Michael J. Tribou; Adam Harmat; David W. L. Wang; Inna Sharf; Steven Lake Waslander (Int. J. Robotics Res., 2015)

Planning Paths for Package Delivery in Heterogeneous Multirobot Teams. - Neil Mathew; Stephen L. Smith 001; Steven Lake Waslander (IEEE Trans Autom. Sci. Eng., 2015)

Path Following Using Dynamic Transverse Feedback Linearization for Car-Like Robots. - Adeel Akhtar; Christopher Nielsen; Steven Lake Waslander (IEEE Trans. Robotics, 2015)

Multirobot Rendezvous Planning for Recharging in Persistent Tasks. - Neil Mathew; Stephen L. Smith 001; Steven Lake Waslander (IEEE Trans. Robotics, 2015)

The constriction decomposition method for coverage path planning. - Stanley Brown; Steven Lake Waslander (IROS, 2016)

Calibration of a dynamic camera cluster for multi-camera visual SLAM. - Arun Das 005; Steven Lake Waslander (IROS, 2016)

Internet of Drones. - Mirmojtaba Gharibi; Raouf Boutaba; Steven Lake Waslander (IEEE Access, 2016)

Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view. - Michael J. Tribou; David W. L. Wang; Steven Lake Waslander (Image Vis. Comput., 2016)

Three-dimensional Scan Registration using Curvelet Features in Planetary Environments. - Siddhant Ahuja; Peter Iles; Steven Lake Waslander (J. Field Robotics, 2016)

Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN. - Devinder Kumar; Helmut Neher; Arun Das 005; David A. Clausi; Steven Lake Waslander (CRV, 2017)

State initialization for recurrent neural network modeling of time-series data. - Nima Mohajerin; Steven Lake Waslander (IJCNN, 2017)

Autonomous active calibration of a dynamic camera cluster using next-best-view. - Jason Rebello; Arun Das 005; Steven Lake Waslander (IROS, 2017)

Aggressive vehicle control using polynomial spiral curves. - Assylbek Dakibay; Steven Lake Waslander (ITSC, 2017)

Trajectory prediction of traffic agents at urban intersections through learned interactions. - Atrisha Sarkar; Krzysztof Czarnecki 001; Matt Angus; Changjian Li 005; Steven Lake Waslander (ITSC, 2017)

Multi-Channel Generalized-ICP: A robust framework for multi-channel scan registration. - James Servos; Steven Lake Waslander (Robotics Auton. Syst., 2017)

De-noising of Lidar Point Clouds Corrupted by Snowfall. - Nicholas Charron; Stephen Phillips; Steven L. Waslander (CRV, 2018)

Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++. - Leonid Koppel; Steven L. Waslander (CRV, 2018)

In Defense of Classical Image Processing: Fast Depth Completion on the CPU. - Jason Ku 001; Ali Harakeh; Steven L. Waslander (CRV, 2018)

A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection. - Alex D. Pon; Oles Andrienko; Ali Harakeh; Steven L. Waslander (CRV, 2018)

Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. - Christopher L. Choi; Jason Rebello; Leonid Koppel; Pranav Ganti; Arun Das 005; Steven L. Waslander (ICRA, 2018)

Deep Learning a Quadrotor Dynamic Model for Multi-Step Prediction. - Nima Mohajerin; Melissa Mozifian; Steven Lake Waslander (ICRA, 2018)

Joint 3D Proposal Generation and Object Detection from View Aggregation. - Jason Ku 001; Melissa Mozifian; Jungwook Lee; Ali Harakeh; Steven L. Waslander (IROS, 2018)

Unlimited Road-scene Synthetic Annotation (URSA) Dataset. - Matt Angus; Mohamed ElBalkini; Samin Khan; Ali Harakeh; Oles Andrienko; Cody Reading; Steven Lake Waslander; Krzysztof Czarnecki 001 (ITSC, 2018)

Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. - Jungwook Lee; Sean Walsh 003; Ali Harakeh; Steven L. Waslander (ITSC, 2018)

Speed Planning for Autonomous Driving via Convex Optimization. - Yu Zhang 037; Huiyan Chen; Steven L. Waslander; Tian Yang; Sheng Zhang; Guangming Xiong; Kai Liu 014 (ITSC, 2018)

A Flexible Simulation and Design Environment for IMU/GNSS Sensors Integration. - Soroush Sheikhpour; Mohamed M. Atia; Steven L. Waslander (MWSCAS, 2018)

Hybrid Trajectory Planning for Autonomous Driving in Highly Constrained Environments. - Yu Zhang 037; Huiyan Chen; Steven L. Waslander; Jianwei Gong; Guangming Xiong; Tian Yang; Kai Liu 014 (IEEE Access, 2018)

Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks. - Nima Mohajerin; Steven Lake Waslander (CoRR, 2018)

Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings. - Qi Chen 012; Lei Wang 038; Yifan Wu 004; Guangming Wu; Zhiling Guo; Steven L. Waslander (CoRR, 2018)

Visual SLAM with Network Uncertainty Informed Feature Selection. - Pranav Ganti; Steven L. Waslander (CoRR, 2018)

Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex Optimization. - Yu Zhang 037; Huiyan Chen; Steven L. Waslander; Tian Yang; Sheng Zhang; Guangming Xiong; Kai Liu 014 (Sensors, 2018)

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. - Keenan Burnett; Sepehr Samavi; Steven L. Waslander; Timothy D. Barfoot; Angela P. Schoellig (CRV, 2019)

Network Uncertainty Informed Semantic Feature Selection for Visual SLAM. - Pranav Ganti; Steven L. Waslander (CRV, 2019)

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. - Jason Ku 001; Alex D. Pon; Steven L. Waslander (CVPR, 2019)

Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation. - Jason Ku 001; Alex D. Pon; Sean Walsh 003; Steven L. Waslander (IROS, 2019)

Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. - Braden Hurl; Krzysztof Czarnecki 001; Steven L. Waslander (IV, 2019)

Visual Measurement Integrity Monitoring for UAV Localization. - Chengyao Li; Steven L. Waslander (SSRR, 2019)

3D traffic flow model for UAVs. - Mirmojtaba Gharibi; Raouf Boutaba; Steven L. Waslander (CoRR, 2019)

Multistep Prediction of Dynamic Systems With Recurrent Neural Networks. - Nima Mohajerin; Steven L. Waslander (IEEE Trans. Neural Networks Learn. Syst., 2019)

Feedback Linearizing Controllers on SO(3) using a Global Parametrization. - Adeel Akhtar; Sajid Saleem; Steven L. Waslander (ACC, 2020)

Leveraging Temporal Data for Automatic Labelling of Static Vehicles. - Sean Walsh 003; Jason Ku 001; Alex D. Pon; Steven L. Waslander (CRV, 2020)

Towards End-to-end Learning of Visual Inertial Odometry with an EKF. - Chunshang Li; Steven L. Waslander (CRV, 2020)

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. - Ali Harakeh; Michael Smart; Steven L. Waslander (ICRA, 2020)

Object-Centric Stereo Matching for 3D Object Detection. - Alex D. Pon; Jason Ku 001; Chengyao Li; Steven L. Waslander (ICRA, 2020)

AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM. - Jason Rebello; Angus Fung; Steven L. Waslander (ICRA, 2020)

Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. - Chengyao Li; Jason Ku 001; Steven L. Waslander (IROS, 2020)

Controller-Aware Path optimization for Enhancing Path Tracking Performance. - Wei Wang; Huiyan Chen; Steven L. Waslander; Jiangnan Li; Jianwei Gong (ITSC, 2020)

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. - Braden Hurl; Robin Cohen; Krzysztof Czarnecki 001; Steven L. Waslander (IV, 2020)

Path Following for a Class of Underactuated Systems Using Global Parameterization. - Adeel Akhtar; Sajid Saleem; Steven L. Waslander (IEEE Access, 2020)

Vehicle Scheduling Problem. - Mirmojtaba Gharibi; Steven L. Waslander; Raouf Boutaba (CoRR, 2020)

Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors. - Tim D. Barfoot; Jessica Burgner-Kahrs; Eric D. Diller; Animesh Garg; Andrew A. Goldenberg; Jonathan Kelly; Xinyu Liu 002; Hani E. Naguib; Goldie Nejat; Angela P. Schoellig; Florian Shkurti; Hallie Siegel; et al. (CoRR, 2020)

Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection. - Anas Mahmoud 002; Steven L. Waslander (CRV, 2021)

Categorical Depth Distribution Network for Monocular 3D Object Detection. - Cody Reading; Ali Harakeh; Julia Chae; Steven L. Waslander (CVPR, 2021)

DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration. - Jason Rebello; Chunshang Li; Steven L. Waslander (ICCVW, 2021)

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. - Ali Harakeh; Steven L. Waslander (ICLR, 2021)

ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. - Jun Yang 053; Yizhou Gao; Dong Li; Steven L. Waslander (IROS, 2021)

UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection. - Juan Carrillo; Steven L. Waslander (ITSC, 2021)

Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. - Jordan S. K. Hu; Steven L. Waslander (ITSC, 2021)

Canadian Adverse Driving Conditions dataset. - Matthew Pitropov; Danson Evan Garcia; Jason Rebello; Michael Smart; Carlos Wang; Krzysztof Czarnecki 001; Steven Lake Waslander (Int. J. Robotics Res., 2021)

Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. - Shatil Rahman; Steven L. Waslander (IEEE Robotics Autom. Lett., 2021)

Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. - Justin Tomasi; Brandon Wagstaff; Steven L. Waslander; Jonathan Kelly (IEEE Robotics Autom. Lett., 2021)

Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking. - Jun Yang 053; Dong Li; Steven L. Waslander (IEEE Robotics Autom. Lett., 2021)

Controller Class for Rigid Body Tracking on $ mathsf {SO}(3)$. - Adeel Akhtar; Steven L. Waslander (IEEE Trans. Autom. Control., 2021)

Temporal Convolutions for Multi-Step Quadrotor Motion Prediction. - Samuel Looper; Steven L. Waslander (CRV, 2022)

Point Density-Aware Voxels for LiDAR 3D Object Detection. - Jordan S. K. Hu; Tianshu Kuai; Steven L. Waslander (CVPR, 2022)

Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects. - Jun Yang 053; Steven L. Waslander (ICRA, 2022)

LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. - Matthew Pitropov; Chengjie Huang; Vahdat Abdelzad; Krzysztof Czarnecki 001; Steven L. Waslander (IV, 2022)

POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. - Jingxing Qian; Veronica Chatrath; Jun Yang 053; James Servos; Angela P. Schoellig; Steven L. Waslander (Robotics: Science and Systems, 2022)

Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks. - Kinjal Patel; Steven L. Waslander (CoRR, 2022)

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. - Di Feng; Ali Harakeh; Steven L. Waslander; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2022)

Estimating Regression Predictive Distributions with Sample Networks. - Ali Harakeh; Jordan Sir Kwang Hu; Naiqing Guan; Steven L. Waslander; Liam Paull (AAAI, 2023)

ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation. - Jacob Deery; Chang Won Lee; Steven L. Waslander (CRV, 2023)

Class Instance Balanced Learning for Long-Tailed Classification. - Marc-Antoine Lavoie; Steven L. Waslander (CRV, 2023)

Towards Open World NeRF-Based SLAM. - Daniil Lisus; Connor Holmes; Steven Lake Waslander (CRV, 2023)

Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection. - Barza Nisar; Hruday Vishal Kanna Anand; Steven L. Waslander (CRV, 2023)

InterTrack: Interaction Transformer for 3D Multi-Object Tracking. - John Willes; Cody Reading; Steven L. Waslander (CRV, 2023)

HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score Filtering. - Jenny Xu; Steven L. Waslander (CRV, 2023)

Next-Best-View Selection for Robot Eye-in-Hand Calibration. - Jun Yang 053; Jason Rebello; Steven L. Waslander (CRV, 2023)

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. - Anas Mahmoud 002; Jordan S. K. Hu; Tianshu Kuai; Ali Harakeh; Liam Paull; Steven L. Waslander (CVPR, 2023)

ReasonNet: End-to-End Driving with Temporal and Global Reasoning. - Hao Shao; Letian Wang; Ruobing Chen 005; Steven L. Waslander; Hongsheng Li 001; Yu Liu 015 (CVPR, 2023)

6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization. - Jun Yang 053; Wenjie Xue; Sahar Ghavidel; Steven L. Waslander (ICRA, 2023)

POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. - Jingxing Qian; Veronica Chatrath; James Servos; Aaron Mavrinac; Wolfram Burgard; Steven L. Waslander; Angela P. Schoellig (Robotics: Science and Systems, 2023)

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. - Letian Wang; Jie Liu 047; Hao Shao; Wenshuo Wang; Ruobing Chen 005; Yu Liu 015; Steven L. Waslander (Robotics: Science and Systems, 2023)

Dense Voxel Fusion for 3D Object Detection. - Anas Mahmoud 002; Jordan S. K. Hu; Steven L. Waslander (WACV, 2023)

Assessing Distribution Shift in Probabilistic Object Detection Under Adverse Weather. - Mathew Hildebrand; Andrew Brown; Stephen Brown; Steven L. Waslander (IEEE Access, 2023)

A Target-Based Extrinsic Calibration Framework for Non-Overlapping Camera-Lidar Systems Using a Motion Capture System. - Nicholas Charron; Steven L. Waslander; Sriram Narasimhan (CoRR, 2023)

LMDrive: Closed-Loop End-to-End Driving with Large Language Models. - Hao Shao; Yuxuan Hu; Letian Wang; Steven L. Waslander; Yu Liu 015; Hongsheng Li 001 (CoRR, 2023)

Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. - Ziwei Liao; Binbin Xu; Steven L. Waslander (CoRL, 2024)

Multiple View Geometry Transformers for 3D Human Pose Estimation. - Ziwei Liao; Jialiang Zhu; Chunyu Wang 001; Han Hu 001; Steven L. Waslander (CVPR, 2024)

LMDrive: Closed-Loop End-to-End Driving with Large Language Models. - Hao Shao; Yuxuan Hu; Letian Wang; Guanglu Song; Steven L. Waslander; Yu Liu 015; Hongsheng Li 001 (CVPR, 2024)

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. - Yang Zhou 019; Hao Shao; Letian Wang; Steven L. Waslander; Hongsheng Li 001; Yu Liu 015 (CVPR, 2024)

JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention. - Brian Cheong; Jiachen Zhou 002; Steven Lake Waslander (ECCV (66), 2024)

Image-to-Lidar Relational Distillation for Autonomous Driving Data. - Anas Mahmoud 002; Ali Harakeh; Steven L. Waslander (ECCV (62), 2024)

UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. - Chang Won Lee; Steven L. Waslander (ICRA, 2024)

Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. - Ziwei Liao; Jun Yang 053; Jingxing Qian; Angela P. Schoellig; Steven L. Waslander (ICRA, 2024)

SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. - Sandro Papais; Robert Ren; Steven L. Waslander (ICRA, 2024)

Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. - Jun Yang 053; Jian Yao; Steven L. Waslander (IROS, 2024)

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. - Letian Wang; Seung Wook Kim 001; Jiawei Yang 002; Cunjun Yu; Boris Ivanovic; Steven L. Waslander; Yue Wang 041; Sanja Fidler; Marco Pavone 001; Péter Karkus (NeurIPS, 2024)

Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. - Ziwei Liao; Steven L. Waslander (WACV, 2024)

Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows. - Evan D. Cook; Marc-Antoine Lavoie; Steven L. Waslander (CoRR, 2024)

ALLO: A Photorealistic Dataset and Data Generation Pipeline for Anomaly Detection During Robotic Proximity Operations in Lunar Orbit. - Selina Leveugle; Chang Won Lee; Svetlana Stolpner; Chris Langley; Paul Grouchy; Steven L. Waslander; Jonathan Kelly (CoRR, 2024)

FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation. - Chang Won Lee; Selina Leveugle; Svetlana Stolpner; Chris Langley; Paul Grouchy; Jonathan Kelly; Steven L. Waslander (CoRR, 2024)

Bayesian Embeddings for Few-Shot Open World Recognition. - John Willes; James Harrison; Ali Harakeh; Chelsea Finn; Marco Pavone 001; Steven L. Waslander (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection. - Marc-Antoine Lavoie; Anas Mahmoud 002; Steven L. Waslander (CVPR, 2025)

PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds. - Barza Nisar; Steven L. Waslander (CVPR, 2025)

SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. - Yang Zhou 019; Hao Shao; Letian Wang; Steven L. Waslander; Hongsheng Li 001; Yu Liu 015 (ICLR, 2025)

Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames. - Jun Yang 053; Wenjie Xue; Sahar Ghavidel; Steven L. Waslander (CoRR, 2025)

Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. - Letian Wang; Marc-Antoine Lavoie; Sandro Papais; Barza Nisar; Yuxiao Chen 008; Wenhao Ding; Boris Ivanovic; Hao Shao; Abulikemu Abuduweili; Evan Cook; Yang Zhou 019; Péter Karkus; et al. (CoRR, 2025)

aUToPath: Unified Planning and Control for Autonomous Vehicles in Urban Environments Using Hybrid Lattice and Free-Space Search. - Tanmay P. Patel; Connor Wilson; Ellina R. Zhang; Morgan Tran; Chang Keun Paik; Steven L. Waslander; Timothy D. Barfoot (CoRR, 2025)

OpenNav: Open-World Navigation with Multimodal Large Language Models. - Mingfeng Yuan; Letian Wang; Steven L. Waslander (CoRR, 2025)

ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting. - Sandro Papais; Letian Wang; Brian Cheong; Steven L. Waslander (CoRR, 2025)