Steven L. Waslander - researchr alias

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Viewing Publication 1 - 70 from 70

2024

Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape PriorZiwei Liao, Steven L. Waslander. wacv 2024: 3086-3095 [doi]

Bayesian Embeddings for Few-Shot Open World RecognitionJohn Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone 0001, Steven L. Waslander. pami, 46(3):1513-1529, March 2024. [doi]

2023

ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic SegmentationJacob Deery, Chang Won Lee, Steven L. Waslander. crv 2023: 137-144 [doi]

Estimating Regression Predictive Distributions with Sample NetworksAli Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull. AAAI 2023: 7830-7838 [doi]

Assessing Distribution Shift in Probabilistic Object Detection Under Adverse WeatherMathew Hildebrand, Andrew Brown, Stephen Brown, Steven L. Waslander. access, 11:44989-45000, 2023. [doi]

Class Instance Balanced Learning for Long-Tailed ClassificationMarc-Antoine Lavoie, Steven L. Waslander. crv 2023: 121-128 [doi]

Dense Voxel Fusion for 3D Object DetectionAnas Mahmoud, Jordan S. K. Hu, Steven L. Waslander. wacv 2023: 663-672 [doi]

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive LossAnas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander. cvpr 2023: 7102-7110 [doi]

Gradient-Based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionBarza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander. crv 2023: 304-311 [doi]

POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static EnvironmentsJingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig. rss 2023: [doi]

ReasonNet: End-to-End Driving with Temporal and Global ReasoningHao Shao, Letian Wang, Ruobing Chen 0005, Steven L. Waslander, Hongsheng Li 0001, Yu Liu 0015. cvpr 2023: 13723-13733 [doi]

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsLetian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen 0005, Yu Liu, Steven L. Waslander. rss 2023: [doi]

InterTrack: Interaction Transformer for 3D Multi-Object TrackingJohn Willes, Cody Reading, Steven L. Waslander. crv 2023: 73-80 [doi]

HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringJenny Xu, Steven L. Waslander. crv 2023: 217-224 [doi]

6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View OptimizationJun Yang, Wenjie Xue, Sahar Ghavidel, Steven L. Waslander. icra 2023: 2905-2912 [doi]

Next-Best-View Selection for Robot Eye-in-Hand CalibrationJun Yang, Jason Rebello, Steven L. Waslander. crv 2023: 161-168 [doi]

2022

A Review and Comparative Study on Probabilistic Object Detection in Autonomous DrivingDi Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer. tits, 23(8):9961-9980, 2022. [doi]

Point Density-Aware Voxels for LiDAR 3D Object DetectionJordan S. K. Hu, Tianshu Kuai, Steven L. Waslander. cvpr 2022: 8459-8468 [doi]

Temporal Convolutions for Multi-Step Quadrotor Motion PredictionSamuel Looper, Steven L. Waslander. crv 2022: 32-39 [doi]

LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object DetectionMatthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander. ivs 2022: 813-820 [doi]

POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static ScenesJingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander. rss 2022: [doi]

Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective ObjectsJun Yang, Steven L. Waslander. icra 2022: 3684-3690 [doi]

2021

Controller Class for Rigid Body Tracking on $\mathsf {SO}(3)$Adeel Akhtar, Steven L. Waslander. tac, 66(5):2234-2241, 2021. [doi]

UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionJuan Carrillo, Steven L. Waslander. itsc 2021: 3799-3806 [doi]

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsAli Harakeh, Steven L. Waslander. iclr 2021: [doi]

Pattern-Aware Data Augmentation for LiDAR 3D Object DetectionJordan S. K. Hu, Steven L. Waslander. itsc 2021: 2703-2710 [doi]

Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection DetectionAnas Mahmoud, Steven L. Waslander. crv 2021: 9-16 [doi]

Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based RobotsShatil Rahman, Steven L. Waslander. ral, 6(2):3112-3119, 2021. [doi]

Categorical Depth Distribution Network for Monocular 3D Object DetectionCody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander. cvpr 2021: 8555-8564 [doi]

DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online CalibrationJason Rebello, Chunshang Li, Steven L. Waslander. iccvw 2021: 2559-2568 [doi]

Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and MatchingJustin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly. ral, 6(2):2028-2035, 2021. [doi]

ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-PickingJun Yang, Yizhou Gao, Dong Li, Steven L. Waslander. iros 2021: 9788-9795 [doi]

Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-PickingJun Yang, Dong Li, Steven L. Waslander. ral, 6(3):4472-4479, 2021. [doi]

2020

Leveraging Temporal Data for Automatic Labelling of Static VehiclesSean Walsh 0003, Jason Ku, Alex D. Pon, Steven L. Waslander. crv 2020: 134-141 [doi]

Feedback Linearizing Controllers on SO(3) using a Global ParametrizationAdeel Akhtar, Sajid Saleem, Steven L. Waslander. amcc 2020: 1441-1446 [doi]

Path Following for a Class of Underactuated Systems Using Global ParameterizationAdeel Akhtar, Sajid Saleem, Steven L. Waslander. access, 8:34737-34749, 2020. [doi]

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object DetectorsAli Harakeh, Michael Smart, Steven L. Waslander. icra 2020: 87-93 [doi]

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic DataBraden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander. ivs 2020: 341-347 [doi]

Confidence Guided Stereo 3D Object Detection with Split Depth EstimationChengyao Li, Jason Ku, Steven L. Waslander. iros 2020: 5776-5783 [doi]

Towards End-to-end Learning of Visual Inertial Odometry with an EKFChunshang Li, Steven L. Waslander. crv 2020: 190-197 [doi]

Object-Centric Stereo Matching for 3D Object DetectionAlex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander. icra 2020: 8383-8389 [doi]

AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAMJason Rebello, Angus Fung, Steven L. Waslander. icra 2020: 6035-6041 [doi]

Controller-Aware Path optimization for Enhancing Path Tracking PerformanceWei Wang, Huiyan Chen, Steven L. Waslander, Jiangnan Li, Jianwei Gong. itsc 2020: 1-7 [doi]

2019

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive ChallengeKeenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig. crv 2019: 209-216 [doi]

Network Uncertainty Informed Semantic Feature Selection for Visual SLAMPranav Ganti, Steven L. Waslander. crv 2019: 121-128 [doi]

Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionBraden Hurl, Krzysztof Czarnecki, Steven L. Waslander. ivs 2019: 2522-2529 [doi]

Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation EstimationJason Ku, Alex D. Pon, Sean Walsh 0003, Steven L. Waslander. iros 2019: 3459-3466 [doi]

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionJason Ku, Alex D. Pon, Steven L. Waslander. cvpr 2018: 11867-11876 [doi]

Visual Measurement Integrity Monitoring for UAV LocalizationChengyao Li, Steven L. Waslander. ssrr 2019: 22-29 [doi]

Multistep Prediction of Dynamic Systems With Recurrent Neural NetworksNima Mohajerin, Steven L. Waslander. tnn, 30(11):3370-3383, 2019. [doi]

2018

Hybrid Trajectory Planning for Autonomous Driving in Highly Constrained EnvironmentsYu Zhang 0037, Huiyan Chen, Steven L. Waslander, Jianwei Gong, Guangming Xiong, Tian Yang, Kai Liu 0014. access, 6:32800-32819, 2018. [doi]

Speed Planning for Autonomous Driving via Convex OptimizationYu Zhang 0037, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu 0014. itsc 2018: 1089-1094 [doi]

Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex OptimizationYu Zhang 0037, Huiyan Chen, Steven L. Waslander, Tian Yang, Sheng Zhang, Guangming Xiong, Kai Liu 0014. sensors, 18(7):2185, 2018. [doi]

De-noising of Lidar Point Clouds Corrupted by SnowfallNicholas Charron, Stephen Phillips, Steven L. Waslander. crv 2018: 254-261 [doi]

Encoderless Gimbal Calibration of Dynamic Multi-Camera ClustersChristopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander. icra 2018: 2126-2133 [doi]

Manifold Geometry with Fast Automatic Derivatives and Coordinate Frame Semantics Checking in C++Leonid Koppel, Steven L. Waslander. crv 2018: 126-133 [doi]

In Defense of Classical Image Processing: Fast Depth Completion on the CPUJason Ku, Ali Harakeh, Steven L. Waslander. crv 2018: 16-22 [doi]

Joint 3D Proposal Generation and Object Detection from View AggregationJason Ku, Melissa Mozifian, JungWook Lee, Ali Harakeh, Steven L. Waslander. iros 2018: 1-8 [doi]

Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth GenerationJungWook Lee, Sean Walsh 0003, Ali Harakeh, Steven L. Waslander. itsc 2018: 2504-2510 [doi]

A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light DetectionAlex D. Pon, Oles Andrienko, Ali Harakeh, Steven L. Waslander. crv 2018: 102-109 [doi]

A Flexible Simulation and Design Environment for IMU/GNSS Sensors IntegrationSoroush Sheikhpour, Mohamed M. Atia, Steven L. Waslander. mwscas 2018: 472-475 [doi]

2012

Way-point navigation for a skid-steer vehicle in unknown environmentsPeiyi Chen, Arun Das 0005, Prasenjit Mukherjee, Steven L. Waslander. ei-iriacv 2012: [doi]

2011

Nonlinear aircraft modeling and controller design for target trackingYassir Rizwan, Steven L. Waslander, Christopher Nielsen. amcc 2011: 3191-3196 [doi]

2010

Position control of a 6×6 ATV using a MIMO fuzzy controllerRyan Gariepy, Steven L. Waslander. amcc 2010: 6943-6948 [doi]

Spiral Bacterial Foraging Optimization methodAlireza Kasaiezadeh, Amir Khajepour, Steven L. Waslander. amcc 2010: 4845-4850 [doi]

2008

Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithmMichael P. Vitus, Steven L. Waslander, Claire Tomlin. cdc 2008: 540-545 [doi]

2007

Convergence of Lump-Sum Markets with Price-Anticipating AgentsSteven L. Waslander, Claire J. Tomlin. amcc 2007: 468-473 [doi]

2006

Mutual Information Methods with Particle Filters for Mobile Sensor Network ControlGabriel M. Hoffmann, Steven L. Waslander, Claire J. Tomlin. cdc 2006: 1019-1024 [doi]

Toward efficient and equitable distributed air traffic flow controlSteven L. Waslander, Robin L. Raffard, Claire J. Tomlin. amcc 2006: 1-6 [doi]

Efficient Market-Based Air Traffic Flow Control with Competing AirlinesSteven L. Waslander, Claire J. Tomlin. cdc 2006: 2843-2848 [doi]

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