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        <datestamp>2025-10-20</datestamp>
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          <dc:description>Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms</dc:description>
          <dc:description>The student, Bhargav Chandaka, accepted the attached license on 2025-04-15 at 21:27.</dc:description>
          <dc:description>The student, Bhargav Chandaka, submitted this Thesis for approval on 2025-04-15 at 21:32.</dc:description>
          <dc:description>This Thesis was approved for publication on 2025-04-16 at 07:49.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #21789 on 2025-10-19 at 18:09:25</dc:description>
          <dc:title>Sim-on-wheels: Physical world in the loop simulation for self-driving</dc:title>
          <dc:creator>Chandaka, Bhargav</dc:creator>
          <dc:date>2025-04-16</dc:date>
          <dc:contributor>Wang, Shenlong</dc:contributor>
          <dc:subject>Safety</dc:subject>
          <dc:subject>Robot sensing systems</dc:subject>
          <dc:subject>Real-time systems</dc:subject>
          <dc:subject>Autonomous agents</dc:subject>
          <dc:subject>Simulation</dc:subject>
          <dc:subject>Animation</dc:subject>
          <dc:subject>Autonomous vehicles</dc:subject>
          <dc:language>eng</dc:language>
          <dc:description>We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles’ performance in the real world under safety-critical scenarios. Sim-on-wheels runs on a self-driving vehicle operating in the physical world. It creates virtual traffic participants with risky behaviors and seamlessly inserts the virtual events into images perceived from the physical world in real-time. The manipulated images are fed into autonomy, allowing the self-driving vehicle to react to such virtual events. The full pipeline runs on the actual vehicle and interacts with the physical world, but the safety-critical events it sees are virtual. Sim-on-Wheels is safe, interactive, realistic, and easy to use. The experiments demonstrate the potential of Sim-on-Wheels to facilitate the process of testing autonomous driving in challenging real-world scenes with high fidelity and low risk. Additional results and open-sourced code are available on our project page here: https://sim-on-wheels.github.io/.</dc:description>
          <dc:date>2025-05</dc:date>
          <dc:type>Thesis</dc:type>
          <dc:identifier>https://hdl.handle.net/2142/129207</dc:identifier>
          <dc:rights>Copyright 2025 Bhargav Chandaka</dc:rights>
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            <department>Siebel School Comp &amp; Data Sci</department>
            <discipline>Computer Science</discipline>
            <grantor>University of Illinois Urbana-Champaign</grantor>
            <name>M.S.</name>
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