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Steven 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) - [c106]Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander:
Multiple View Geometry Transformers for 3D Human Pose Estimation. CVPR 2024: 708-717 - [c105]Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li:
LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CVPR 2024: 15120-15130 - [c104]Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CVPR 2024: 15281-15290 - [c103]Brian Cheong
, Jiachen Zhou
, Steven Lake Waslander
:
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention. ECCV (66) 2024: 161-177 - [c102]Anas Mahmoud
, Ali Harakeh
, Steven L. Waslander
:
Image-to-Lidar Relational Distillation for Autonomous Driving Data. ECCV (62) 2024: 459-475 - [c101]Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander:
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors. ICRA 2024: 4082-4089 - [c100]Sandro Papais, Robert Ren, Steven L. Waslander:
SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. ICRA 2024: 4939-4945 - [c99]Chang Won Lee, Steven L. Waslander:
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. ICRA 2024: 4946-4953 - [c98]Jun Yang, Jian Yao, Steven L. Waslander:
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera. IROS 2024: 7550-7557 - [c97]Ziwei Liao, Steven L. Waslander:
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior. WACV 2024: 3086-3095 - [i72]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) - [i71]Chang Won Lee, Steven L. Waslander:
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking. CoRR abs/2402.12303 (2024) - [i70]Sandro Papais, Robert Ren, Steven L. Waslander:
SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking. CoRR abs/2402.17892 (2024) - [i69]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) - [i68]Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus:
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR abs/2406.12095 (2024) - [i67]Brian Cheong, Jiachen Zhou, Steven L. Waslander:
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention. CoRR abs/2407.04926 (2024) - [i66]Anas Mahmoud, Ali Harakeh, Steven Lake Waslander:
Image-to-Lidar Relational Distillation for Autonomous Driving Data. CoRR abs/2409.00845 (2024) - [i65]Selina Leveugle, Chang Won Lee, Svetlana Stolpner, Chris Langley, Paul Grouchy, Steven L. Waslander, Jonathan Kelly:
ALLO: A Photorealistic Dataset and Data Generation Pipeline for Anomaly Detection During Robotic Proximity Operations in Lunar Orbit. CoRR abs/2409.20435 (2024) - [i64]Ziwei Liao, Binbin Xu, Steven L. Waslander:
Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. CoRR abs/2410.05514 (2024) - [i63]Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. CoRR abs/2410.08669 (2024) - [i62]Chang Won Lee, Selina Leveugle, Svetlana Stolpner, Chris Langley, Paul Grouchy, Jonathan Kelly, Steven L. Waslander:
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation. CoRR abs/2411.19888 (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]