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Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether.
GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives
To reconstruct the objects in a scene we first fit a GP onto each occluded object to obtain an initial raw structure.
A Survey of Deep Learning Techniques for Autonomous Driving
The last decade witnessed increasingly rapid progress in self-driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence.
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles
We propose an approach which uses genetic algorithms for training a population of deep neural networks, where each network individual is evaluated based on a multi-objective fitness vector, with the purpose of establishing a so-called Pareto front of optimal deep neural networks.
Robotics Systems and Control Systems and Control
