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              <text>Perception to Control: End-to-End Autonomous Driving Systems</text>
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              <text>Autonomous driving; CNN; Deep learning; End-to-end systems</text>
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              <text>End-to-end autonomous driving systems have garnered a lot of attention in recent years, and researchers have been exploring different ways to make them work. In this paper, we provide an overview of the field with a focus on the two main types of systems: those that use only RGB images and those that use a combination of multiple modalities. We review the literature in each area, highlighting the strengths and limitations of each approach. We also discuss the challenges of integrating these systems into a complete end-to-end autonomous driving pipeline, including issues related to perception, decision-making, and control. Lastly, we identify areas where more research is needed to make autonomous driving systems work better and be safer. Overall, this paper provides a comprehensive look at the current state-of-the-art in end-to-end autonomous driving, with a focus on the technical challenges and opportunities for future research.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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              <text>Yoshita; Jatain A.; Manju; Kumar S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-968 LNNS, pp. 447-454.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-97-2079-8_34" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-97-2079-8_34&lt;/a&gt;
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              <text>ISSN: 23673370; ISBN: 978-981972078-1</text>
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              <text>Yoshita, Department of Computer Science and Engineering, Amity University, Haryana, Gurugram, India; Jatain A., Department of Computer Science and Technology, Manav Rachna University, Faridabad, India; Manju, Department of Computer Science and Engineering and Information Technology Jaypee Institute of Information Technology, Noida, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, India</text>
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