Toronto Intelligent Systems Lab
Toronto Intelligent Systems Lab
Home
People
Publications
Teaching
Join Us
Paper-Conference
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Xiao Li
,
Guy Rosman
,
Igor Gilitschenski
,
Jonathan DeCastro
,
Cristian Ioan Vasile
,
Sertac Karaman
,
Daniela Rus
PDF
Video
Exploiting Semantic and Public Prior Information in MonoSLAM
In this paper, we propose a method to use semantic information to improve the use of map priors in a sparse, feature-based MonoSLAM …
Chenxi Ye
,
Yiduo Wang
,
Ziwen Lu
,
Igor Gilitschenski
,
Martin Parsley
,
Simon J. Julier
PDF
Deep Orientation Uncertainty Learning based on a Bingham Loss
Reasoning about uncertain orientations is one of the core problems in many perception tasks such as object pose estimation or motion …
Igor Gilitschenski
,
Roshni Sahoo
,
Wilko Schwarting
,
Alexander Amini
,
Sertac Karaman
,
Daniela Rus
PDF
Code
Video
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars
Current perception systems mostly require direct line of sight to anticipate and ultimately prevent potential collisions at …
Felix Naser
,
Igor Gilitschenski
,
Alexander Amini
,
Christina Liao
,
Guy Rosman
,
Sertac Karaman
,
Daniela Rus
PDF
Range-based Cooperative Localization with Nonlinear Observability Analysis
Accurate localization of other cars in scenarios such as intersection navigation, intention-aware planning, and guardian systems is a …
Brandon Araki
,
Igor Gilitschenski
,
Tatum Ogata
,
Alex Wallar
,
Wilko Schwarting
,
Zareen Choudhury
,
Sertac Karaman
,
Daniela Rus
PDF
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
We present an efficient coresets-based neural network compression algorithm that sparsifies the parameters of a trained fully-connected …
Cenk Baykal
,
Lucas Liebenwein
,
Igor Gilitschenski
,
Dan Feldman
,
Daniela Rus
PDF
ShadowCam: Real-Time Detection of Moving Obstacles behind a Corner for Autonomous Vehicles
Moving obstacles occluded by corners are a poten- tial source for collisions in mobile robotics applications such as autonomous …
Felix Naser
,
Igor Gilitschenski
,
Guy Rosman
,
Alexander Amini
,
Fredo Durand
,
Antonio Torralba
,
Gregory W. Wornell
,
William T. Freeman
,
Sertac Karaman
,
Daniela Rus
PDF
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization
Marcin Dymczyk
,
Igor Gilitschenski
,
Juan Nieto
,
Simon Lynen
,
Bernhard Zeisl
,
Roland Siegwart
PDF
Map Management for Efficient Long-Term Visual Localization in Outdoor Environments
We present a complete map management process for a visual localization system designed for multi-vehicle longterm operations in …
Matthias Bürki
,
Marcin Dymczyk
,
Igor Gilitschenski
,
Cesar Cadena
,
Roland Siegwart
,
Juan Nieto
PDF
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees
The successful deployment of many autonomous systems in part hinges on providing rigorous guarantees on their performance and safety …
Lucas Liebenwein
,
Cenk Baykal
,
Igor Gilitschenski
,
Sertac Karaman
,
Daniela Rus
PDF
«
»
Cite
×