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GROUNDED: A Localizing Ground Penetrating Radar Evaluation Dataset for Learning to Localize in Inclement Weather
Mapping and localization using surface features is prone to failure due to environment changes such as inclement weather. Recently, …
Teddy Ort
,
Igor Gilitschenski
,
Daniela Rus
PDF
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
As learning-based methods make their way from perception systems to planning/control stacks, robot control systems have started to …
Xiao Li
,
Igor Gilitschenski
,
Guy Rosman
,
Sertac Karaman
,
Daniela Rus
PDF
MapLite 2.0: Online HD Map Inference Using a Prior SD Map
Deploying fully autonomous vehicles has been a subject of intense research in both industry and academia. However, the majority of …
Teddy Ort
,
Jeffrey M. Walls
,
Steven A. Parkison
,
Igor Gilitschenski
,
Daniela Rus
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Cite
Learning An Explainable Trajectory Generator Using The Automaton Generative Network (AGN)
Symbolic reasoning is a key component for enabling practical use of data-driven planners in autonomous driving. In that context, …
Xiao Li
,
Guy Rosman
,
Igor Gilitschenski
,
Brandon Araki
,
Cristian Ioan Vasile
,
Sertac Karaman
,
Daniela Rus
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Cite
Sensitivity-Informed Provable Pruning of Neural Networks
Cenk Baykal
,
Lucas Liebenwein
,
Igor Gilitschenski
,
Dan Feldman
,
Daniela Rus
PDF
Vehicle Trajectory Prediction Using Generative Adversarial Network with Temporal Logic Syntax Tree Features
In this work, we propose a novel approach for integrating rules into traffic agent trajectory prediction. Consideration of rules is …
Xiao Li
,
Guy Rosman
,
Igor Gilitschenski
,
Cristian Ioan Vasile
,
Jonathan DeCastro
,
Sertac Karaman
,
Daniela Rus
PDF
Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
In this paper, we propose a novel approach for agent motion prediction in cluttered environments. One of the main challenges in …
Igor Gilitschenski
,
Guy Rosman
,
Arjun Gupta
,
Sertac Karaman
,
Daniela Rus
PDF
Autonomous Navigation in Inclement Weather based on a Localizing Ground Penetrating Radar
Most autonomous driving solutions require some method of localization within their environment. Typically, onboard sensors are used to …
Teddy Ort
,
Igor Gilitschenski
,
Daniela Rus
PDF
Video
Learning Robust Control Policies for End-to-End Autonomous Driving from Data-Driven Simulation
In this work, we present a data-driven simulation and training engine capable of learning end-to-end autonomous vehicle control …
Alexander Amini
,
Igor Gilitschenski
,
Jacob Philips
,
Julia Moseyko
,
Rohan Banerjee
,
Sertac Karaman
,
Daniela Rus
PDF
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MapLite: Autonomous Intersection Navigation without a Detailed Prior Map
In this work, we present MapLite. a one-click autonomous navigation system capable of piloting a vehicle to an arbitrary desired …
Teddy Ort
,
Krishna Murthy
,
Rohan Banerjee
,
Sai Krishna Gottipati
,
Dhaivat Bhatt
,
Igor Gilitschenski
,
Liam Paull
,
Daniela Rus
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