Automative Dataset Visualization with Uber AVS and Cruise Webwiz

Automative Dataset Visualization with AVS and WebViz

Autonomous Driving Dataset Visualization tools:

• Uber AVS

• Cruise Webviz

A list of the available autonomous driving datasets:

• KITTI Dataset
• Uber nuTonomy Dataset (XVIZ dataset)
• Lyft
• Kaggle Data set
• Level 5 Open Dataset (NuScenes Format)
• Udacity Self-Driving Datasets
• NuScenes Open Data set
• ArgoVerse Data Sets
• Waymo Open Dataset
• Comma.ai Data set
• City-escape
• LISA — US San Diago

Driving Dataset Image Annotation:

• Bounding Boxes
• Polygonal Segmentation
• Line Annotation
• Landmark Annotation
• 3D Cuboids
• Semantic Segmentation / Pixelwise Segmentation

Note: Please visit here to learn more about each annotation.

Composite Datasets Formats (Viz Ready):

• ROS (Robotics Operating System) Bag Files > Used with Cruise Webviz
• nuScenes
• XVIZ (Uber)

Dataset Conversion SDK/Tools

• NuScene Devkit (https://github.com/nutonomy/nuscenes-devkit)
• Lyft (https://github.com/lyft/nuscenes-devkit)
• Uber XVIZ (https://github.com/uber/xviz)
• ROS Bag (http://wiki.ros.org/rosbag/Commandline)

Presentation Slide-deck:

If you are interested in the slide deck, you can download from the link below:

https://www.linkedin.com/feed/update/urn:li:activity:6580186297107906560/

Presentation Recording:

Following is the video recording presentation for the above slide deck:

@akashchauhan