Abstract
This paper proposes a novel method of acquiring sensory data of a robot with emphasis on physical sensory environment. The system produces better acustomization within environment of previously known map. The system developed and presented also has analysis and optimization of sectorial errors in movement within curve of maps. The proposed system has better response as compared to SLAM algorithm with better known map of the environment, as the system uses candidate algorithm as one of the novel method. The system is also equipped with GPU-based parallel processing which enhances the overall performance and computation of the system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mittal R, Pathak V et al (2018) A review of robotics through cloud computing. J Adv Robot
https://www.boston.co.uk/info/nvidia-kepler/what-is-gpu-computing.aspx
Dhiman NK, Deodhare D et al (2015) Where am I? Creating spatial awareness in unmanned ground robots using SLAM: a survey
Balasuriya BLEA, Chathuranga BAH et al (2016) Outdoor robot navigation using Gmapping based SLAM algorithm. In: 2016 Moratuwa engineering research conference
Apriaskar E, Nugraha YP et al (2017) Simulation of simultaneous localization and mapping using hexacopter and RGBD camera. In: 2017 2nd international conference on automation, cognitive science, optics, micro electro-mechanical system, and information technology (ICACOMIT)
Frese U, Hirzinger G (2001) Simultaneous localization and mapping—a discussion
Fatahalian K (2012) How GPU works
AMD accelerated parallel processing guide.pdf
Najam S, Ahmed J et al (2019) Run-Time resource management controller for power efficiency of GP-GPU architecture. IEEE Access 7
https://armkeil.blob.core.windows.net/developer/…/pdf/…/Mali_GPU_Architecture
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mittal, R., Pathak, V., Goyal, S., Mithal, A. (2020). A Novel Approach to Localized a Robot in a Given Map with Optimization Using GP-GPU. In: Sharma, H., Pundir, A., Yadav, N., Sharma, A., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0426-6_17
Download citation
DOI: https://doi.org/10.1007/978-981-15-0426-6_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0425-9
Online ISBN: 978-981-15-0426-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)