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05/28/2023
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction
Interactions between road agents present a significant challenge in traj...
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05/24/2023
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
As learning-based methods make their way from perception systems to plan...
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03/29/2023
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
Advancements in simulation and formal methods-guided environment samplin...
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10/19/2022
MPOGames: Efficient Multimodal Partially Observable Dynamic Games
Game theoretic methods have become popular for planning and prediction i...
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07/20/2022
Learning Latent Traits for Simulated Cooperative Driving Tasks
To construct effective teaming strategies between humans and AI systems ...
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03/08/2022
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Multi-agent interactions are important to model for forecasting other ag...
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02/27/2022
Concept Graph Neural Networks for Surgical Video Understanding
We constantly integrate our knowledge and understanding of the world to ...
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10/19/2021
Trajectory Prediction with Linguistic Representations
Language allows humans to build mental models that interpret what is hap...
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10/17/2021
TIP: Task-Informed Motion Prediction for Intelligent Systems
Motion prediction is important for intelligent driving systems, providin...
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10/16/2021
MAAD: A Model and Dataset for "Attended Awareness" in Driving
We propose a computational model to estimate a person's attended awarene...
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10/05/2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Modeling multi-modal high-level intent is important for ensuring diversi...
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08/04/2021
Risk Conditioned Neural Motion Planning
Risk-bounded motion planning is an important yet difficult problem for s...
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05/10/2021
SUrgical PRediction GAN for Events Anticipation
Comprehension of surgical workflow is the foundation upon which computer...
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11/24/2020
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
Automated Vehicles require exhaustive testing in simulation to detect as...
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11/11/2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Traffic simulators are important tools in autonomous driving development...
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09/16/2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
Reasoning about human motion is a core component of modern human-robot i...
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09/01/2020
Aggregating Long-Term Context for Learning Surgical Workflows
Analyzing surgical workflow is crucial for computers to understand surge...
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08/29/2020
Driving Through Ghosts: Behavioral Cloning with False Positives
Safe autonomous driving requires robust detection of other traffic parti...
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07/01/2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Autonomous driving has achieved significant progress in recent years, bu...
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03/18/2020
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
Predicting the behavior of road agents is a difficult and crucial task f...
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12/14/2019
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps
In this paper, we propose a novel approach for agent motion prediction i...
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11/28/2019
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
Vehicle trajectory prediction is crucial for autonomous driving and adva...
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01/16/2019
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Predicting the motion of a driver's vehicle is crucial for advanced driv...
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11/25/2018
Variational End-to-End Navigation and Localization
Deep learning has revolutionized the ability to learn "end-to-end" auton...
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09/04/2017
A Nonparametric Model for Multimodal Collaborative Activities Summarization
Ego-centric data streams provide a unique opportunity to reason about jo...
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11/28/2015
