AUTONOMOUS VEHICLES

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

Virtual Reality Based Simulator for Evaluation of Autonomous Vehicle Behavior Algorithms

Pierluigi Pisu, Associate Professor, Clemson University
Deep Orange 8: Autonomous Mobility Motionboard

Pierluigi Pisu, Associate Professor, Leader of the Connected Vehicle Technology Facult, Clemson University
Custom Vehicle Simulator for Real World Self-Driving Vehicle

Jun Hong, Engineer, KAIST
Faster-RNN in Self-Driving Cars

Bibhrajit Halder, CEO, SafeAI Inc
Parallelized Interactive Machine Learning on Autonomous Vehicles in Simulated Environment

Xi Chen, Graduate Research Assistnat, University of Kentucky
Real-time Ground Estimation and Applications to Navigation

Christian Laugier, First Class Research Director, Inria
Self-Driving in Highly Complex Environment with Advanced End-to-End Learning

Chanyoung Jung, graduate student, KAIST
Slanted Stixels on the GPU: Representing San Francisco`s Steepest Streets

Daniel Hernandez, PhD Student, Universitat Autonoma de Barcelona
Safety Centric Deep Reinforcement Learning AI Driver Training and Evaluation

Edward Schwalb, Lead Scientist, Machine Learning Group, MSC Software
Real-Time Sensor Simulation for DRIVE PX2

Bernhard Bieder, Software Engineer, VIRES Simulationstechnologie Gmbh
A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle

Michael Teti, Graduate Student Researcher, Florida Atlantic University