SiaSearch: Unstructured Sensor Data Management Platform
A guide to better access, explore, and understand unstructured sensor data for autonomous driving development
To accelerate the speed of autonomous vehicle adoption, an increasing number of organizations and individuals are making their projects available to the public. Open data is fueling commercial and technological advancement in autonomous driving—one of most well known resources being the nuScenes dataset.
Developed by the team at Motional (formerly nuTonomy), nuScenes is one of the most popular open-source datasets for autonomous driving. The nuScenes dataset enables researchers to study a wide range of urban driving situations using data captured by the full sensor suite of a self-driving car. The first dataset of its kind, nuScenes was a key player in cultivating a culture of data sharing and collaboration within the mobility industry.
To further advance this mission, Motional recently partnered with Berlin-based startup SiaSearch to introduce a completely new way to interact with nuScenes—by using a data curation platform to delve deeper into the data than ever before.
This guide will walk you through how to better access, explore and understand the nuScenes dataset with the SiaSearch platform.
What is the nuScenes Dataset?
The nuScenes dataset is one of the largest public datasets for autonomous driving. The dataset contains a rich library of meticulously hand-annotated scenes collected by real self-driving cars. Recorded in Boston and Singapore, nuScenes features a diverse range of traffic situations, driving maneuvers, and unexpected behaviors.
The dataset includes:
- Full sensor suite: 32-beam LiDAR, 6 cameras and radars with complete 360° coverage
- 1000 urban street scenes, 20 seconds each
- 1,440,000 camera images
- 23 classes and 8 attributes
The Motional and SiaSearch Partnership
To access the data yourself, you’ll need to sign up for a free account on SiaSearch. After creating an account, you can immediately load and visualize nuScenes data within the web-based GUI.
Read the rest of the article on the SiaSearch website: https://www.siasearch.io/blog/effortlessly-explore-the-nuscenes-dataset-with-siasearch
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