Autonomous Vehicles Conference Posters

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

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways

Laurent Kloeker, Research Scientist, Institute for Automotive Engineering, RWTH Aachen University

Acceleration of Sampling Based Predictive Control Algorithm Using GPU for Autonomous Driving
Acceleration of Sampling Based Predictive Control Algorithm Using GPU for Autonomous Driving

Arun KaiMuraleedharan, Masters Student, Nagoya University

AI based ADAS Development with RetinaNet & TensorRT for Self-Driving Cars and Functional Safety Testing
AI based ADAS Development with RetinaNet & TensorRT for Self-Driving Cars and Functional Safety Testing

HyeJin Kim,  Chief Engineer, HancomMDS

Convolution neural networks for cyber-security in autonomous vehicles
Convolution neural networks for cyber-security in autonomous vehicles

Pierluigi Pisu, Associate Professor, Clemson University

Electric Vehicle Route Planning on GPU using Particle Swarm Optimization and Bellman-Ford
Electric Vehicle Route Planning on GPU using Particle Swarm Optimization and Bellman-Ford

Vincent Roberge, Assistant Processor, Royal Military College of Canada

Finding Roads from a Bird's Eye View: A Novel Deep Learning-based Method for Semantic Road Segmentation and Mapping
Finding Roads from a Bird's Eye View: A Novel Deep Learning-based Method for Semantic Road Segmentation and Mapping

Manish Sapkota, Machine Learning Engineer, Foresight AI  

LiDAR and Camera Data Fusion in Autonomous Vehicle System using Drive PX 2
LiDAR and Camera Data Fusion in Autonomous Vehicle System using Drive PX 2

Kwang-Hoe Kim, Researcher, Research Assistant, DGIST

Safety Critical Event Detection in Dashcam Videos: Towards Pre-Crash Labeling
Safety Critical Event Detection in Dashcam Videos: Towards Pre-Crash Labeling

Behrouz Saghafi, Computer Vision Engineer, Harman International

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways
Acceleration of Sampling Based Predictive Control Algorithm Using GPU for Autonomous Driving
AI based ADAS Development with RetinaNet & TensorRT for Self-Driving Cars and Functional Safety Testing
Convolution neural networks for cyber-security in autonomous vehicles
Electric Vehicle Route Planning on GPU using Particle Swarm Optimization and Bellman-Ford
Finding Roads from a Bird's Eye View: A Novel Deep Learning-based Method for Semantic Road Segmentation and Mapping
LiDAR and Camera Data Fusion in Autonomous Vehicle System using Drive PX 2
Safety Critical Event Detection in Dashcam Videos: Towards Pre-Crash Labeling
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