Anurag Paul

Staff Research Engineer

Anurag Paul is a Staff Research Engineer at Plus, leading the deep learning modeling team to advance the company’s AV2.0 driving intelligence that powers SuperDrive™, Plus’s Level 4 autonomous driving software. He focuses on building generalizable perception systems for comprehensive environmental understanding and developing end-to-end AI models unifying perception, prediction, and planning layers for safe and scalable performance. Anurag holds an M.S. in Electrical Engineering from UC San Diego, specializing in machine learning and data science, and a B.Tech from IIT Roorkee. He has served as a judge for the Globee® Awards for Artificial Intelligence.

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Presentation

Reimagining autonomous trucking with VLMs and end-to-end models

2025 marks a turning point for autonomous trucking, moving from years of R&D into real-world commercial deployment. This talk introduces Plus’s three-layer architecture powering this shift – Vision language models (VLMs), End-to-End models and Safety Guardrails. We’ll share how VLMs help with meta decisions and handle “long tail” problems, End-to-End models enable scalable deployment across diverse regions and vehicle platforms, and Safety Guardrails provide sanity checks to prevent radical maneuvers – together forming a robust, scalable, and interpretable foundation for safe and generalizable autonomous driving.