activity
20162024
most citedWaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images

397 citations · 1k across the 44 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.RO2021★ 1 cited

Towards Automated Sample Collection and Return in Extreme Underwater Environments

Gideon Billings, Matthew Walter, Oscar Pizarro +2

In this report, we present the system design, operational strategy, and results of coordinated multi-vehicle field demonstrations of autonomous marine robotic technologies in searc…

cs.RO2021★ 37 cited

Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems

Gideon Billings, Richard Camilli, Matthew Johnson-Roberson

This paper presents a novel visual feature based scene mapping method for underwater vehicle manipulator systems (UVMSs), with specific emphasis on robust mapping in natural seaflo…

cs.CV2021★ 6 cited

Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization

Tianyi Zhang, Matthew Johnson-Roberson

Robot localization remains a challenging task in GPS denied environments. State estimation approaches based on local sensors, e.g. cameras or IMUs, are drifting-prone for long-rang…

math.OC2021

Resilient Control of Platooning Networked Robotic Systems via Dynamic Watermarking

Matthew Porter, Arnav Joshi, Sidhartha Dey +5

Networked robotic systems, such as connected vehicle platoons, can improve the safety and efficiency of transportation networks by allowing for high-speed coordination. To enable s…

cs.CV2021★ 2 cited

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction

Yu Yao, Ella Atkins, Matthew Johnson Roberson +2

Accurate prediction of pedestrian crossing behaviors by autonomous vehicles can significantly improve traffic safety. Existing approaches often model pedestrian behaviors using tra…

cs.RO2021

A Kinematic Model for Trajectory Prediction in General Highway Scenarios

Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson

Highway driving invariably combines high speeds with the need to interact closely with other drivers. Prediction methods enable autonomous vehicles (AVs) to anticipate drivers' fut…