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A Novel Approach to Optimize SLAM Using GP-GPU

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Proceedings of International Conference on Data Science and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 148))

Abstract

Mapping is the process to scale down and represent actual geo-allied information whereas localization is to identify and accommodate itself in the environment. Various papers had been published in this respect which sees SLAM algorithms, but a few had considered and examined for identification of object through SONAR and IR sensors. Apart from identification of object, and error due to curve path is also not considered in fictional steering system. The paper examines the above leftover and produces experimental results which are motivating.

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Correspondence to Rohit Mittal .

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Mittal, R., Pathak, V., Mithal, A. (2021). A Novel Approach to Optimize SLAM Using GP-GPU. In: Ray, K., Roy, K.C., Toshniwal, S.K., Sharma, H., Bandyopadhyay, A. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-15-7561-7_22

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