Concepts and definitions

This section describes key concepts and defines terminology specific to this solution:

AV/ADAS

Autonomous Vehicle/Advanced Driver-Assistance System. Developing and deploying AV/ADASs requires scalable compute, storage, networking, analytics, and deep learning frameworks.

DAG

Directed Acyclic Graph. Workflows in Amazon MWAA are authored as DAGs using Python.

drive

Logical grouping of data, such as Test Car 1 stores its rosbag file on Drive 1.

lane detection (LaneDet)

A specific object detection model to identify automotive roads within images.

object detection

Refers to identifying objects within an image pulled from the rosbag file. Based on the COCO dataset for object detection, this term implies the detection of recognized objects such as street lights, stop signs, and people.

ROS

Robot Operating System. The ROS is a set of software libraries and tools that help you build robot applications.

rosbag

A ROS archive file containing sensor data, meant for playback and logging.

scene detection

See object detection.

YOLO

You Only Look Once, a PyTorch object detection model.