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02/14/2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Autonomous mobility is emerging as a new mode of urban transportation fo...
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07/11/2022
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior
Safe and reliable autonomy solutions are a critical component of next-ge...
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07/03/2022
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills
Deep reinforcement learning (RL) is a promising approach to solving comp...
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06/03/2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Characterizing aleatoric and epistemic uncertainty on the predicted rewa...
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05/04/2022
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks
We propose a unified framework for coordinating Unmanned Aerial Vehicle ...
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03/30/2022
Model Predictive Optimized Path Integral Strategies
We generalize the derivation of model predictive path integral control (...
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03/26/2022
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
Autonomous vehicles (AVs) rely on environment perception and behavior pr...
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03/12/2022
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget
We present a method for autonomous exploration of large-scale unknown en...
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11/08/2021
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
We present a novel approach to maximize the communication-aware coverage...
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10/27/2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Many applications of generative models rely on the marginalization of th...
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08/29/2021
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
Autonomous vehicles need to model the behavior of surrounding human driv...
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07/23/2021
3D Radar Velocity Maps for Uncertain Dynamic Environments
Future urban transportation concepts include a mixture of ground and air...
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07/10/2021
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis
Deep learning models have become a popular choice for medical image anal...
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11/18/2020
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
Predicting the future occupancy state of an environment is important to ...
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11/03/2020
Out-of-Distribution Detection for Automotive Perception
Neural networks (NNs) are widely used for object recognition tasks in au...
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10/19/2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Discrete latent spaces in variational autoencoders have been shown to ef...
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07/01/2020
Online Domain Adaptation for Occupancy Mapping
Creating accurate spatial representations that take into account uncerta...
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07/01/2020
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
We can use driving data collected over a long period of time to extract ...
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06/10/2020
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Imitation learning is an approach for generating intelligent behavior wh...
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05/06/2020
Online Parameter Estimation for Human Driver Behavior Prediction
Driver models are invaluable for planning in autonomous vehicles as well...
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12/04/2019
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment
This paper addresses the problem of learning instantaneous occupancy lev...
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09/03/2018