Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots

Author:

Pena Queralta Jorge1ORCID,Li Qingqing1,Ferrer Eduardo Castello2ORCID,Westerlund Tomi1ORCID

Affiliation:

1. Turku Intelligent Embedded and Robotic Systems Laboratory, University of Turku, Turku, Finland

2. MIT Connection Science and MIT Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

Academy of Finland’s AutoSOS Project

RoboMesh Project

European Union’s Horizon 2020 Research and Innovation Programme through the Marie Skłodowska-Curie

Tekniikan Edistämissäätiö

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference41 articles.

1. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

2. Multi sensor fusion for navigation and mapping in autonomous vehicles: Accurate localization in urban environments;li;Proc 9th IEEE CIS-RAM,2019

3. UWB/LiDAR Fusion For Cooperative Range-Only SLAM

4. UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems

5. Autocalibration of a mobile UWB localization system for ad-hoc multi-robot deployments in GNSS-denied environments;almansa;arXiv 2004 06762,2020

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