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                <text>Faculty Publications</text>
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    <name>Conference Paper</name>
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          <name>Creator</name>
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              <text>Roy, Riya; Saju, Akhil; Renji, Sharon; Pranathi, Sakamuri; Kandangath, Megha Rajesh; Vaahinee, B.; Jeff Ron, S.; Steve, Jaidan; Parag Jose, C.; Wang, Yong</text>
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              <text>End-to-End Imitation Learning for Autonomous Driving: Design and Implementation on a Custom Robotic Platform</text>
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          <name>Date</name>
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              <text>01-01-2025</text>
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              <text>2025 IEEE International Conference on Vehicular Technology and Transportation System, ICVTTS 2025;</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICVTTS67119.2025.11296487" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICVTTS67119.2025.11296487&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105032138465?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105032138465?origin=resultslist&lt;/a&gt;</text>
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              <text>Roy R., CHRIST (Deemed to be University), Bangalore, India; Saju A., CHRIST (Deemed to be University), Bangalore, India; Renji S., CHRIST (Deemed to be University), Bangalore, India; Pranathi S., CHRIST (Deemed to be University), Bangalore, India; Kandangath M.R., CHRIST (Deemed to be University), Bangalore, India; Vaahinee B., CHRIST (Deemed to be University), Bangalore, India; Jeff Ron S., CHRIST (Deemed to be University), Bangalore, India; Steve J., CHRIST (Deemed to be University), Bangalore, India; Parag Jose C., CHRIST (Deemed to be University), Bangalore, India; Wang Y., Binghamton University, New York, United States</text>
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              <text>This paper presents an end-to-end imitation learning system for autonomous driving on a custom robotic vehicle. A PilotNet-inspired CNN, trained on 20 laps of Udacity Beta simulator data from three cameras, was deployed on an NVIDIA Jetson Xavier for real-time steering. The robot features a 48V, 1.5kW BLDC motor and a precision steering system using dual linear actuators. Manual override is enabled via an RC controller. The integration of deep learning with custom hardware highlights challenges in transferring simulation-trained models to real-world systems.  2025 IEEE.</text>
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              <text>Autonomous Vehicle; Imitation Learning; Jetson Xavier; Linear Actuators; PilotNet</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>ISBN: 979-833156522-0;</text>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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              <text>online</text>
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