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09/19/2023
Learning Orbitally Stable Systems for Diagrammatically Teaching
Diagrammatic Teaching is a paradigm for robots to acquire novel skills, ...
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09/18/2023
Reasoning about the Unseen for Efficient Outdoor Object Navigation
Robots should exist anywhere humans do: indoors, outdoors, and even unma...
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09/07/2023
Learning from Demonstration via Probabilistic Diagrammatic Teaching
Learning for Demonstration (LfD) enables robots to acquire new skills by...
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07/11/2023
Hyperspherical Embedding for Point Cloud Completion
Most real-world 3D measurements from depth sensors are incomplete, and t...
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04/06/2023
Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Underwater imagery often exhibits distorted coloration as a result of li...
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11/18/2022
LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud
LiDARs have been widely adopted to modern self-driving vehicles, providi...
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09/02/2022
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations
Recent advances in neural radiance fields (NeRFs) achieve state-of-the-a...
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12/30/2021
Towards Automated Sample Collection and Return in Extreme Underwater Environments
In this report, we present the system design, operational strategy, and ...
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12/07/2021
Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems
This paper presents a novel visual scene mapping method for underwater v...
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09/09/2021
Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
Robot localization remains a challenging task in GPS denied environments...
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05/10/2021
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Accurate prediction of pedestrian crossing behaviors by autonomous vehic...
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03/30/2021
A Kinematic Model for Trajectory Prediction in General Highway Scenarios
Highway driving invariably combines high speeds with the need to interac...
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01/02/2021
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Point cloud analysis is an area of increasing interest due to the develo...
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07/29/2020
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
Pedestrian trajectory prediction is an essential task in robotic applica...
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07/09/2020
Point Set Voting for Partial Point Cloud Analysis
The continual improvement of 3D sensors has driven the development of al...
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06/08/2020
Pixel-Wise Motion Deblurring of Thermal Videos
Uncooled microbolometers can enable robots to see in the absence of visi...
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06/01/2020
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles
Pedestrians and drivers interact closely in a wide range of environments...
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04/14/2020
Parametric Design of Underwater Optical Systems
The design of optical systems for underwater vehicles is a complex proce...
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02/27/2020
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images
There has been much recent interest in deep learning methods for monocul...
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02/05/2020
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design
For robotic arms to operate in arbitrary environments, especially near p...
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09/24/2019
Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design
Online control design using a high-fidelity, full-order model for a bipe...
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09/23/2019
Shadow Transfer: Single Image Relighting For Urban Road Scenes
Illumination effects in images, specifically cast shadows and shading, h...
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09/17/2019
Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving
Knowing and predicting dangerous factors within a scene are two key comp...
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09/11/2019
On-Demand Trajectory Predictions for Interaction Aware Highway Driving
Highway driving places significant demands on human drivers and autonomo...
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05/07/2019
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery
An accurate depth map of the environment is critical to the safe operati...
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03/05/2019
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction
Urban environments pose a significant challenge for autonomous vehicles ...
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02/07/2019
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
As autonomous robots increasingly become part of daily life, they will o...
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10/09/2018
A constrained control-planning strategy for redundant manipulators
This paper presents an interconnected control-planning strategy for redu...
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09/18/2018
SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning
Autonomous robot manipulation often involves both estimating the pose of...
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09/18/2018
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
Autonomous mobile robots must operate with limited sensor horizons in un...
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09/17/2018
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation
Performance on benchmark datasets has drastically improved with advances...
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09/13/2018
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery
Recent work has shown that convolutional neural networks (CNNs) can be a...
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09/12/2018
Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments
Navigating safely in urban environments remains a challenging problem fo...
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09/11/2018
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction
In applications such as autonomous driving, it is important to understan...
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09/10/2018
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections
This paper presents a novel dataset titled PedX, a large-scale multimoda...
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03/21/2018
Modeling Camera Effects to Improve Deep Vision for Real and Synthetic Data
Recent work has focused on generating synthetic imagery and augmenting r...
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11/20/2017
Robust Environmental Mapping by Mobile Sensor Networks
Constructing a spatial map of environmental parameters is a crucial step...
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06/30/2017
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
One of the major open challenges in self-driving cars is the ability to ...
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02/23/2017
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
This paper reports on WaterGAN, a generative adversarial network (GAN) f...
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10/06/2016
