Guida automatizzata

Estendere i workflow di Deep Learning con le applicazioni di guida automatizzata

Applicare il Deep Learning alle applicazioni di guida automatizzata utilizzando Deep Learning Toolbox™ insieme a Automated Driving Toolbox™.

App

Ground Truth Labeler

Label ground truth data for automated driving applications

Argomenti

Train a Deep Learning Vehicle Detector
This example shows how to train a vision-based vehicle detector using deep learning.
Create Occupancy Grid Using Monocular Camera and Semantic Segmentation
This example shows how to estimate free space around a vehicle and create an occupancy grid using semantic segmentation and deep learning.
Automate Ground Truth Labeling for Semantic Segmentation (Automated Driving Toolbox)
Use a pretrained semantic segmentation algorithm to segment an image, and use this algorithm to automate ground truth labeling.
Train Deep Learning Semantic Segmentation Network Using 3-D Simulation Data
This example shows how to use 3-D simulation data to train a semantic segmentation network and fine-tune it to real-world data using generative adversarial networks (GANs).
Track Multiple Vehicles Using a Camera (Automated Driving Toolbox)
Detect and track multiple vehicles with a monocular camera mounted in a vehicle.

Esempi in primo piano

Train Deep Learning Semantic Segmentation Network Using 3-D Simulation Data

Use 3-D simulation data to train a semantic segmentation network and fine-tune it to real-world data using generative adversarial networks (GANs).

Apri live script

Train a Deep Learning Vehicle Detector

Train a vision-based vehicle detector using deep learning.

Apri live script

Create Occupancy Grid Using Monocular Camera and Semantic Segmentation

Estimate free space around a vehicle and create an occupancy grid using semantic segmentation and deep learning. You then use this occupancy grid to create a vehicle costmap, which can be used to plan a path.

Apri live script