Multistage bayesian autonomy for high-precision operation in a large field

Author:

Hodges Jonathan1,Attia Tamer1,Arukgoda Janindu2,Kang Changkoo3,Cowden Mickey4,Doan Luan1,Ranasinghe Ravindra2,Abdelatty Karim1,Dissanayake Gamini2,Furukawa Tomonari1ORCID

Affiliation:

1. Department of Mechanical Engineering; Virginia Tech; Blacksburg Virginia

2. Centre for Autonomous Systems; University of Technology; Sydney NSW Australia

3. Department of Aerospace and Ocean Engineering; Virginia Tech; Blacksburg Virginia

4. Department of Electrical and Computer Engineering; Virginia Tech; Blacksburg Virginia

Funder

Khalifa University of Science, Technology and Research

Khalifa University for participating in Mohamed Bin Zayed International Robotics Challenge 2017

INDIE Co.

Net Smile, Inc.

General Motors Foundation

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference42 articles.

1. A robust vision-based sensor fusion approach for real-time pose estimation;Assa;IEEE Transactions on Cybernetics,2013

2. Azim , A. Aycard , O. 2012 Detection, classification and tracking of moving objects in a 3d environment Intelligent Vehicles Symposium (IV), 2012 IEEE

3. Bilodeau , R. A. White , E. L. Kramer , R. K. 2015 Monolithic fabrication of sensors and actuators in a soft robotic gripper Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on

4. Multiple hypothesis tracking for multiple target tracking;Blackman;IEEE Aerospace and Electronic Systems Magazine,2004

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1. A Generalized Bayesian Approach for Localizing Static Natural Obstacles on Unpaved Roads;2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR);2020-11-04

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