AUTONOMOUS VEHICLES

Check out this collection of posters to see how researchers are using GPU-based supercomputing to develop self-driving cars.

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    Virtual Reality Based Simulator for Evaluation of Autonomous Vehicle Behavior Algorithms

    Pierluigi Pisu, Associate Professor, Clemson University

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    Deep Orange 8: Autonomous Mobility Motionboard

    Pierluigi Pisu, Associate Professor, Leader of the Connected Vehicle Technology Facult, Clemson University

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    Custom Vehicle Simulator for Real World Self-Driving Vehicle

    Jun Hong, Engineer, KAIST

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    Faster-RNN in Self-Driving Cars

    Bibhrajit Halder, CEO, SafeAI Inc

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    Parallelized Interactive Machine Learning on Autonomous Vehicles in Simulated Environment

    Xi Chen, Graduate Research Assistnat, University of Kentucky

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    Real-time Ground Estimation and Applications to Navigation

    Christian Laugier, First Class Research Director, Inria

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    Self-Driving in Highly Complex Environment with Advanced End-to-End Learning

    Chanyoung Jung, graduate student, KAIST

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    Slanted Stixels on the GPU: Representing San Francisco`s Steepest Streets

    Daniel Hernandez, PhD Student, Universitat Autonoma de Barcelona

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    Safety Centric Deep Reinforcement Learning AI Driver Training and Evaluation

    Edward Schwalb, Lead Scientist, Machine Learning Group, MSC Software

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    Real-Time Sensor Simulation for DRIVE PX2

    Bernhard Bieder, Software Engineer, VIRES Simulationstechnologie Gmbh

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    A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle

    Michael Teti, Graduate Student Researcher, Florida Atlantic University