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ORCIDIgor Gilitschenski
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- affiliation: University of Toronto, ON, Canada
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2020 – today
- 2024
[c69]Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski:
SPAD: Spatially Aware Multi-View Diffusers. CVPR 2024: 10026-10038- [c68]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CVPR 2024: 14521-14530 - [c67]Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski:
LEOD: Label-Efficient Object Detection for Event Cameras. CVPR 2024: 16933-16942 - [c66]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Watch Your Steps: Local Image and Scene Editing by Text Instructions. ECCV (38) 2024: 111-129 - [c65]Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski:
AvatarOne: Monocular 3D Human Animation. WACV 2024: 3635-3645 - [i56]Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov:
AToM: Amortized Text-to-Mesh using 2D Diffusion. CoRR abs/2402.00867 (2024) - [i55]Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin:
SPAD : Spatially Aware Multiview Diffusers. CoRR abs/2402.05235 (2024) - [i54]Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton:
Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence. CoRR abs/2403.05996 (2024) - [i53]Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi:
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. CoRR abs/2403.12943 (2024) - [i52]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CoRR abs/2403.16439 (2024) - [i51]Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic:
RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting. CoRR abs/2404.10765 (2024) - [i50]Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf:
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR abs/2406.09292 (2024) - [i49]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR abs/2406.15349 (2024) - [i48]Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand:
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. CoRR abs/2406.17718 (2024) - [i47]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. CoRR abs/2407.06683 (2024) - [i46]Derek Tam, Yash Kant, Brian Lester, Igor Gilitschenski, Colin Raffel:
Realistic Evaluation of Model Merging for Compositional Generalization. CoRR abs/2409.18314 (2024) - 2023
- [j20]Teddy Ort
, Igor Gilitschenski, Daniela Rus:
GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather. Int. J. Robotics Res. 42(10): 901-916 (2023) - [j19]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. 8(8): 4737-4744 (2023) - [c64]Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRL 2023: 1242-1256 - [c63]Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus:
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL 2023: 1667-1685 - [c62]Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski:
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CVPR Workshops 2023: 6587-6597 - [c61]Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
Invertible Neural Skinning. CVPR 2023: 8715-8725 - [c60]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein:
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR 2023: 20669-20679 - [c59]Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell:
SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR 2023: 21349-21359 - [c58]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV 2023: 17769-17779 - [c57]Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier:
Solving Continuous Control via Q-learning. ICLR 2023 - [c56]Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone:
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. NeurIPS 2023 - [c55]Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg:
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. NeurIPS 2023 - [c54]Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
Repurposing Diffusion Inpainters for Novel View Synthesis. SIGGRAPH Asia 2023: 16:1-16:12 - [i45]Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant:
Building Scalable Video Understanding Benchmarks through Sports. CoRR abs/2301.06866 (2023) - [i44]Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
Invertible Neural Skinning. CoRR abs/2302.09227 (2023) - [i43]Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski:
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CoRR abs/2304.06937 (2023) - [i42]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR abs/2304.09677 (2023) - [i41]Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg:
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. CoRR abs/2305.11281 (2023) - [i40]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR abs/2305.14797 (2023) - [i39]Ziyi Wu, Xudong Liu, Igor Gilitschenski:
EventCLIP: Adapting CLIP for Event-based Object Recognition. CoRR abs/2306.06354 (2023) - [i38]Claas Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand:
λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces. CoRR abs/2306.17366 (2023) - [i37]Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone:
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. CoRR abs/2307.13924 (2023) - [i36]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR abs/2308.08947 (2023) - [i35]Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis. CoRR abs/2310.16167 (2023) - [i34]Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski:
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR abs/2310.17880 (2023) - [i33]Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski:
LEOD: Label-Efficient Object Detection for Event Cameras. CoRR abs/2311.17286 (2023) - [i32]Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRR abs/2312.03864 (2023) - 2022
- [j18]Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7(2): 984-991 (2022) - [j17]Teddy Ort, Jeffrey M. Walls, Steven A. Parkison, Igor Gilitschenski, Daniela Rus:
MapLite 2.0: Online HD Map Inference Using a Prior SD Map. IEEE Robotics Autom. Lett. 7(3): 8355-8362 (2022) - [j16]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. 4(1): 26-45 (2022) - [c53]Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski:
LaTeRF: Label and Text Driven Object Radiance Fields. ECCV (3) 2022: 20-36 - [c52]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) 2022: 355-373 - [c51]Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA 2022: 2419-2426 - [c50]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA 2022: 2906-2912 - [c49]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. ICRA 2022: 7745-7752 - [c48]Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus:
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA 2022: 8992-8998 - [c47]Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC 2022: 954-967 - [i31]Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR abs/2205.09117 (2022) - [i30]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR abs/2205.10712 (2022) - [i29]Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski:
LaTeRF: Label and Text Driven Object Radiance Fields. CoRR abs/2207.01583 (2022) - [i28]Maria Attarian, Advaya Gupta, Ziyi Zhou, Wei Yu, Igor Gilitschenski, Animesh Garg:
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction. CoRR abs/2210.03825 (2022) - [i27]Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier:
Solving Continuous Control via Q-learning. CoRR abs/2210.12566 (2022) - [i26]Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein:
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR abs/2211.12254 (2022) - [i25]Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell:
SparsePose: Sparse-View Camera Pose Regression and Refinement. CoRR abs/2211.16991 (2022) - 2021
- [j15]Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus:
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6(2): 3459-3466 (2021) - [c46]Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus:
Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL 2021: 1144-1155 - [c45]Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS 2021: 27209-27221 - [c44]Teddy Ort, Igor Gilitschenski, Daniela Rus:
GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset. Robotics: Science and Systems 2021 - [i24]Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus:
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR abs/2102.09812 (2021) - [i23]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR abs/2110.02344 (2021) - [i22]Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR abs/2111.02552 (2021) - [i21]Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR abs/2111.12083 (2021) - [i20]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. CoRR abs/2111.12137 (2021) - 2020
- [j14]Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus:
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. 5(2): 556-563 (2020) - [j13]Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, Daniela Rus:
Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics Autom. Lett. 5(2): 1143-1150 (2020) - [j12]Teddy Ort, Igor Gilitschenski, Daniela Rus:
Autonomous Navigation in Inclement Weather Based on a Localizing Ground Penetrating Radar. IEEE Robotics Autom. Lett. 5(2): 3267-3274 (2020) - [j11]Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. 5(4): 5097-5104 (2020) - [c43]Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus:
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL 2020: 1855-1870 - [c42]Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL 2020: 2178-2194 - [c41]Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus:
Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR 2020 - [c40]Chenxi Ye, Yiduo Wang, Ziwen Lu, Igor Gilitschenski, Martin P. Parsley, Simon J. Julier:
Exploiting Semantic and Public Prior Information in MonoSLAM. IROS 2020: 4936-4941
2010 – 2019
- 2019
- [j10]Mathias Bürki, Cesar Cadena, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto:
Appearance-based landmark selection for visual localization. J. Field Robotics 36(6): 1041-1073 (2019) - [j9]Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard:
Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. 4(4): 4322-4329 (2019) - [j8]Benjamin Völz, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto:
Inferring Pedestrian Motions at Urban Crosswalks. IEEE Trans. Intell. Transp. Syst. 20(2): 544-555 (2019) - [c39]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. ICLR (Poster) 2019 - [c38]Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus:
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS 2019: 250-257 - [c37]Brandon Araki, Igor Gilitschenski, Tatum Ogata, Alex Wallar, Wilko Schwarting, Zareen Choudhury, Sertac Karaman, Daniela Rus:
Range-based Cooperative Localization with Nonlinear Observability Analysis. ITSC 2019: 1864-1870 - [i19]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks. CoRR abs/1910.05422 (2019) - [i18]Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. CoRR abs/1912.06785 (2019) - 2018
- [j7]Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart:
Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization. IEEE Robotics Autom. Lett. 3(2): 1418-1425 (2018) - [j6]Renaud Dubé, Mattia G. Gollub, Hannes Sommer, Igor Gilitschenski, Roland Siegwart, Cesar Cadena, Juan I. Nieto:
Incremental-Segment-Based Localization in 3-D Point Clouds. IEEE Robotics Autom. Lett. 3(3): 1832-1839 (2018) - [j5]Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski:
Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. IEEE Robotics Autom. Lett. 3(3): 2545-2552 (2018) - [j4]Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart, Igor Gilitschenski:
The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-Rotor Aerial Vehicle. IEEE Robotics Autom. Mag. 25(4): 34-44 (2018) - [c36]Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart:
LandmarkBoost: Efficient visualContext Classifiers for Robust Localization. IROS 2018: 677-684 - [c35]Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus:
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC 2018: 560-567 - [c34]Mathias Bürki, Marcin Dymczyk, Igor Gilitschenski, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Map Management for Efficient Long-Term Visual Localization in Outdoor Environments. Intelligent Vehicles Symposium 2018: 682-688 - [c33]Lucas Liebenwein, Cenk Baykal, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees. Robotics: Science and Systems 2018 - [i17]Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart, Igor Gilitschenski:
Voliro: An Omnidirectional Hexacopter With Tiltable Rotors. CoRR abs/1801.04581 (2018) - [i16]Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan I. Nieto:
Why and How to Avoid the Flipped Quaternion Multiplication. CoRR abs/1801.07478 (2018) - [i15]Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski:
Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. CoRR abs/1802.09043 (2018) - [i14]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. CoRR abs/1804.05345 (2018) - [i13]Andrei Cramariuc, Renaud Dubé, Hannes Sommer, Roland Siegwart, Igor Gilitschenski:
Learning 3D Segment Descriptors for Place Recognition. CoRR abs/1804.09270 (2018) - [i12]Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart:
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization. CoRR abs/1807.04702 (2018) - [i11]Mathias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto:
Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization. CoRR abs/1808.02656 (2018) - [i10]Mathias Bürki, Marcin Dymczyk, Igor Gilitschenski, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Map Management for Efficient Long-Term Visual Localization in Outdoor Environments. CoRR abs/1808.02658 (2018) - 2017
- [c32]Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski:
Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields. ACC 2017: 4254-4261 - [c31]Fadri Furrer, Marius Fehr, Tonci Novkovic, Hannes Sommer, Igor Gilitschenski, Roland Siegwart:
Evaluation of Combined Time-Offset Estimation and Hand-Eye Calibration on Robotic Datasets. FSR 2017: 145-159 - [c30]Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart:
Efficient descriptor learning for large scale localization. ICRA 2017: 3170-3177 - [c29]Hamza Merzic, Elena Stumm, Marcin Dymczyk, Roland Siegwart, Igor Gilitschenski:
Map quality evaluation for visual localization. ICRA 2017: 3200-3206 - [c28]Marius Fehr, Fadri Furrer, Ivan Dryanovski, Jürgen Sturm, Igor Gilitschenski, Roland Siegwart, Cesar Cadena:
TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery. ICRA 2017: 5237-5244 - [c27]Thomas Schneider, Mingyang Li, Michael Burri, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski:
Visual-inertial self-calibration on informative motion segments. ICRA 2017: 6487-6494 - [c26]Hannes Sommer, Raghav Khanna, Igor Gilitschenski, Zachary Taylor, Roland Siegwart, Juan I. Nieto:
A low-cost system for high-rate, high-accuracy temporal calibration for LIDARs and cameras. IROS 2017: 2219-2226 - [c25]Anurag Sai Vempati, Igor Gilitschenski, Juan I. Nieto, Paul A. Beardsley, Roland Siegwart:
Onboard real-time dense reconstruction of large-scale environments for UAV. IROS 2017: 3479-3486 - [i9]Thomas Schneider, Mingyang Li, Michael Burri, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski:
Visual-inertial self-calibration on informative motion segments. CoRR abs/1708.02382 (2017) - [i8]Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart:
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization. CoRR abs/1711.10250 (2017) - [i7]Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Yves Siegwart:
Directional Statistics and Filtering Using libDirectional. CoRR abs/1712.09718 (2017) - 2016
- [b1]Igor Gilitschenski:
Deterministic Sampling for Nonlinear Dynamic State Estimation. Karlsruhe Institute of Technology, Germany, 2016, ISBN 978-3-7315-0473-3, pp. 1-200 - [j3]Michael Bosse, Gabriel Agamennoni, Igor Gilitschenski:
Robust Estimation and Applications in Robotics. Found. Trends Robotics 4(4): 225-269 (2016) - [j2]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Unscented von Mises-Fisher Filtering. IEEE Signal Process. Lett. 23(4): 463-467 (2016) - [j1]Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck:
Unscented Orientation Estimation Based on the Bingham Distribution. IEEE Trans. Autom. Control. 61(1): 172-177 (2016) - [c24]Marcin Dymczyk, Elena Stumm, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski:
Will It Last? Learning Stable Features for Long-Term Visual Localization. 3DV 2016: 572-581 - [c23]Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck, Roland Siegwart:
Optimal quantization of circular distributions. FUSION 2016: 1813-1820 - [c22]Michael Burri, Michael Bloesch, Dominik Schindler, Igor Gilitschenski, Zachary Taylor, Roland Siegwart:
Generalized information filtering for MAV parameter estimation. IROS 2016: 3124-3130 - [c21]Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Amir Melzer, Thomas Mantel, Roland Siegwart, Igor Gilitschenski:
Robust map generation for fixed-wing UAVs with low-cost highly-oblique monocular cameras. IROS 2016: 3261-3268 - [c20]Mathias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto:
Appearance-based landmark selection for efficient long-term visual localization. IROS 2016: 4137-4143 - [c19]Marcin Dymczyk, Thomas Schneider, Igor Gilitschenski, Roland Siegwart, Elena Stumm:
Erasing bad memories: Agent-side summarization for long-term mapping. IROS 2016: 4572-4579 - [c18]Timo Hinzmann, Thomas Stastny, Gianpaolo Conte, Patrick Doherty, Piotr Rudol, Mariusz Wzorek, Enric Galceran, Roland Siegwart, Igor Gilitschenski:
Collaborative 3D Reconstruction Using Heterogeneous UAVs: System and Experiments. ISER 2016: 43-56 - [c17]Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Andreas Schaffner, Simon Lynen, Roland Siegwart, Igor Gilitschenski:
Monocular Visual-Inertial SLAM for Fixed-Wing UAVs Using Sliding Window Based Nonlinear Optimization. ISVC (1) 2016: 569-581 - [c16]Benjamin Völz, Karsten Behrendt, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto:
A data-driven approach for pedestrian intention estimation. ITSC 2016: 2607-2612 - [i6]Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski:
Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields. CoRR abs/1609.07577 (2016) - 2015
- [c15]Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck:
Non-identity measurement models for orientation estimation based on directional statistics. FUSION 2015: 727-733 - [c14]Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck:
A stochastic filter for planar rigid-body motions. MFI 2015: 13-18 - [i5]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Recursive Bayesian Filtering in Circular State Spaces. CoRR abs/1501.05151 (2015) - 2014
- [c13]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Nonlinear measurement update for estimation of angular systems based on circular distributions. ACC 2014: 5694-5699 - [c12]Gerhard Kurz, Igor Gilitschenski, Maxim Dolgov, Uwe D. Hanebeck:
Bivariate angular estimation under consideration of dependencies using directional statistics. CDC 2014: 2615-2621 - [c11]Igor Gilitschenski:
Estimation and Scheduling in Sensor-Networks Involving Periodic Data. Joint Workshop of the German Research Training Groups in Computer Science 2014: 7 - [c10]Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck:
A new probability distribution for simultaneous representation of uncertain position and orientation. FUSION 2014: 1-7 - [c9]Igor Gilitschenski, Jannik Steinbring, Uwe D. Hanebeck, Miroslav Simandl:
Deterministic Dirac mixture approximation of Gaussian mixtures. FUSION 2014: 1-7 - [c8]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Deterministic approximation of circular densities with symmetric Dirac mixtures based on two circular moments. FUSION 2014: 1-8 - [c7]Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck:
Efficient Bingham filtering based on saddlepoint approximations. MFI 2014: 1-7 - [c6]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
The partially wrapped normal distribution for SE(2) estimation. MFI 2014: 1-8 - [i4]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Efficient Evaluation of the Probability Density Function of a Wrapped Normal Distribution. CoRR abs/1405.6397 (2014) - [i3]Nicole Bäuerle, Igor Gilitschenski, Uwe D. Hanebeck:
Exact and Approximate Hidden Markov Chain Filters Based on Discrete Observations. CoRR abs/1411.0849 (2014) - 2013
- [c5]Igor Gilitschenski, Uwe D. Hanebeck:
Efficient deterministic dirac mixture approximation of Gaussian distributions. ACC 2013: 2422-2427 - [c4]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Recursive nonlinear filtering for angular data based on circular distributions. ACC 2013: 5439-5445 - [c3]Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck:
Bearings-only sensor scheduling using circular statistics. FUSION 2013: 515-521 - [c2]Gerhard Kurz, Igor Gilitschenski, Simon Julier, Uwe D. Hanebeck:
Recursive estimation of orientation based on the Bingham distribution. FUSION 2013: 1487-1494 - [i2]Gerhard Kurz, Igor Gilitschenski, Simon Julier, Uwe D. Hanebeck:
Recursive Estimation of Orientation Based on the Bingham Distribution. CoRR abs/1304.8019 (2013) - [i1]Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck:
Unscented Orientation Estimation Based on the Bingham Distribution. CoRR abs/1311.5796 (2013) - 2012
- [c1]Igor Gilitschenski, Uwe D. Hanebeck:
A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters. FUSION 2012: 396-401
Coauthor Index
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