Igor gilitschenski

Igor Gilitschenski: Hybrid Approaches for Situation Awareness in Autonomous Driving

Making Autonomous Driving a Reality with Igor Gilitschenski

Autonomy Talks - Igor Gilitschenski: Interactive Navigation for Robust Autonomy

CoRL 2020, Spotlight Talk 482: Differentiable Logic Layer for Rule Guided Trajectory Prediction

Zhang-Wei Hong on Explore and Exploit Data in Reinforcement Learning | Toronto AIR Seminar

2021 Retail & Manufacturing Workshop | University of Toronto Robotics Institute

RSS 2021, Spotlight Talk 89: GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset

CoRL 2020, Spotlight Talk 420: Deep Latent Competition: Learning to Race Using Visual Control Pol...

Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes

AvatarOne: Monocular 3D Human Animation

[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization

Invertible Neural Skinning [CVPR Talk]

Incremental Segment-Based Localization in 3D Point Clouds

Helping Self-Driving Cars Navigate in Bad Weather

VehicleSec 2023 - Human Drivers' Situation Awareness of Autonomous Driving Under Physical-world...

IFRR Robotics Global Colloquium on Field Robotics

Session 3: Safe Perception and control for autonomous vehicles

Autonomous Navigation System based on LGPR

Understanding Risk and Social Behavior Improves Decision Making for Autonomous Vehicles

SLIC: Self-Supervised Learning With Iterative Clustering for Human Action Videos

Scene Representations for Autonomous Driving

【EP11】Improving Robustness to Distribution Shifts: Methods and Benchmarks

MIT Autonomous Vehicle: Learning Robust Sim-to-Real Control Policies