Data Homogenization Method for Heterogeneous Sensors Applied to Reinforcement Learning-Reference-Cited by-同舟云学术

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Data Homogenization Method for Heterogeneous Sensors Applied to Reinforcement Learning

Published:2023 Issue: Volume:11 Page:77347-77358
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Palacios-Morocho Elizabeth¹^ORCID,López-Muńoz Pablo¹,Costán Manuel A.¹,Monserrat Jose F.¹^ORCID

Affiliation:

1. iTEAM Research Institute, Universitat Politècnica de València, Valencia, Spain

Funder

Research and Development Grants Program, Universitat Politècnica de València

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10193766.pdf?arnumber=10193766

Reference40 articles.

1. A General Approach to the Extrinsic Calibration of Intelligent Vehicles Using ROS

2. Multipath Planning Acceleration Method With Double Deep R-Learning Based on a Genetic Algorithm

3. Accuracy of Six Interpolation Methods Applied on Pupil Diameter Data

4. Radar and Camera Sensor Fusion with ROS for Autonomous Driving

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