Igor Gilitschenski

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 120

Top Venues

CoRR

IEEE Robotics Autom. Lett.

IROS

ICRA

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. CoRR (2024)
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 (2024)
Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CoRR (2024)
Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. CoRR (2024)
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 (2024)
Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence. CoRR (2024)
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 (2024)
Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski
AvatarOne: Monocular 3D Human Animation. WACV (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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)
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) (2023)
Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
Invertible Neural Skinning. CVPR (2023)
Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. NeurIPS (2023)
Ziyi Wu, Xudong Liu, Igor Gilitschenski
EventCLIP: Adapting CLIP for Event-based Object Recognition. CoRR (2023)
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)
Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. CoRR (2023)
Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis. CoRR (2023)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRL (2023)
Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CVPR Workshops (2023)
Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant
Building Scalable Video Understanding Benchmarks through Sports. CoRR (2023)
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 (2023)
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 (2023)
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) (2023)
Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR (2023)
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 (2023)
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. CoRR (2023)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. ICLR (2023)
Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
Invertible Neural Skinning. CoRR (2023)
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 (2023)
Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR (2023)
Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CoRR (2023)
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)
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. NeurIPS (2023)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRR (2023)
Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
LEOD: Label-Efficient Object Detection for Event Cameras. CoRR (2023)
Maria Attarian, Advaya Gupta, Ziyi Zhou, Wei Yu, Igor Gilitschenski, Animesh Garg
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction. CoRR (2022)
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)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. CoRR (2022)
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) (2022)
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)
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) (2022)
Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski
LaTeRF: Label and Text Driven Object Radiance Fields. ECCV (3) (2022)
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)
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 (2022)
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. 4 (1) (2022)
Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) (2022)
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 (2022)
Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
SparsePose: Sparse-View Camera Pose Regression and Refinement. CoRR (2022)
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)
Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR (2022)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. ICRA (2022)
Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski
LaTeRF: Label and Text Driven Object Radiance Fields. CoRR (2022)
Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL (2021)
Teddy Ort, Igor Gilitschenski, Daniela Rus
GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset. Robotics: Science and Systems (2021)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
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)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. CoRR (2021)
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) (2020)
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)
Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus
Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR (2020)
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)
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) (2020)
Chenxi Ye, Yiduo Wang, Ziwen Lu, Igor Gilitschenski, Martin P. Parsley, Simon J. Julier
Exploiting Semantic and Public Prior Information in MonoSLAM. IROS (2020)
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) (2020)
Teddy Ort, Igor Gilitschenski, Daniela Rus
Autonomous Navigation in Inclement Weather Based on a Localizing Ground Penetrating Radar. IEEE Robotics Autom. Lett. 5 (2) (2020)
Mathias Bürki, Cesar Cadena, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto
Appearance-based landmark selection for visual localization. J. Field Robotics 36 (6) (2019)
Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. CoRR (2019)
Benjamin Volz, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto
Inferring Pedestrian Motions at Urban Crosswalks. IEEE Trans. Intell. Transp. Syst. 20 (2) (2019)
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)
Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS (2019)
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks. CoRR (2019)
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) (2019)
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)
Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization. CoRR (2018)
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 (2018)
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) (2018)
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. CoRR (2018)
Mathias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto
Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization. CoRR (2018)
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) (2018)
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)
Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan I. Nieto
Why and How to Avoid the Flipped Quaternion Multiplication. CoRR (2018)
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) (2018)
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) (2018)
Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski
Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. CoRR (2018)
Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart, Igor Gilitschenski
Voliro: An Omnidirectional Hexacopter With Tiltable Rotors. CoRR (2018)
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)
Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart
LandmarkBoost: Efficient visualContext Classifiers for Robust Localization. IROS (2018)
Andrei Cramariuc, Renaud Dubé, Hannes Sommer, Roland Siegwart, Igor Gilitschenski
Learning 3D Segment Descriptors for Place Recognition. CoRR (2018)
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)
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)
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 (2017)
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)
Hamza Merzic, Elena Stumm, Marcin Dymczyk, Roland Siegwart, Igor Gilitschenski
Map quality evaluation for visual localization. ICRA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Igor Gilitschenski