Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems

Version 1 : Received: 30 January 2021 / Approved: 1 February 2021 / Online: 1 February 2021 (14:50:20 CET)

How to cite: Cortés Gallardo Medina, E.; Velazquez Espitia, V.M.; Chípuli Silva, D.; Fernández Ruiz de las Cuevas, S.; Palacios Hirata, M.; Zhu Chen, A.; González González, J.Á.; Bustamante Bello, R.; Moreno-García, C.F. Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems. Preprints 2021, 2021020048 (doi: 10.20944/preprints202102.0048.v1). Cortés Gallardo Medina, E.; Velazquez Espitia, V.M.; Chípuli Silva, D.; Fernández Ruiz de las Cuevas, S.; Palacios Hirata, M.; Zhu Chen, A.; González González, J.Á.; Bustamante Bello, R.; Moreno-García, C.F. Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems. Preprints 2021, 2021020048 (doi: 10.20944/preprints202102.0048.v1).

Abstract

Autonomous driving systems are increasingly becoming a necessary trend towards building smart cities of the future. Numerous proposals have been presented in recent years to tackle particular aspects of the working pipeline towards creating a functional end-to-end system, such as object detection, tracking, path planning, sentiment or intent detection. Nevertheless, few efforts have been made to systematically compile all of these systems into a single proposal that effectively considers the real challenges these systems will have on the road, such as real-time computation, hardware capabilities, etc. This paper has reviewed various techniques towards proposing our own end-to-end autonomous vehicle system, considering the latest state on the art on computer vision, DSs, path planning, and parallelization.

Subject Areas

autonomous driving systems; computer vision; neural networks; feature extraction; segmentation; assisted driving; cloud computing; parallelization

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