Deep Learning
Applicare flussi di lavoro di Deep Learning alle applicazioni di navigazione autonoma
Questi esempi applicano flussi di lavoro di Deep Learning ad applicazioni di navigazione autonoma utilizzando Deep Learning Toolbox™ insieme a Navigation Toolbox™.
Esempi in primo piano
Train Deep Learning-Based Sampler for Motion Planning
Create a deep learning-based sampler using Motion Planning Networks to speed up path planning using sampling-based planners like RRT (rapidly-exploring random tree) and RRT*. For information about Motion Planning Networks (MPNet) for state space sampling, see Get Started with Motion Planning Networks.
Accelerate Motion Planning with Deep-Learning-Based Sampler
The example shows how to use sampling-based planners such as RRT (rapidly-exploring random tree) and RRT* with Motion Planning Networks (MPNet), deep-learning-based sampler to find optimal paths efficiently.
