Challenges

ADAS and AD test fleets collect terabytes of drive data per vehicle daily, while production fleets can generate millions of events per day. Given the costs and risks associated with real-world testing, ADAS and AD programs must collect and manage drive data effectively. Teams need to scale data collection efficiently, create a pipeline for effective drive data processing, and build scalable workflows that extract the maximum value from all collected data.

Why Data Explorer?

Applied Intuition Data Explorer is a cloud-based data management and exploration tool designed for ADAS and AD engineering teams.
Centralized system logs and drive data for development and testing
Intuitive interface enables collaboration across different teams to ingest, enrich, process, and review large amounts of data
Advanced data analytics capabilities to help teams understand logged data and accelerate system development and testing

Benefits

Speed up ADAS and AD testing

Reduce time spent finding and exporting essential events with an easy-to-use, web-based visualizer.

Integrate seamlessly

Easily integrate Data Explorer with existing data infrastructure and annotate data with useful information from various sources.

Increase productivity

Enhance productivity throughout your organization by sharing access across data, triage, and systems engineering teams.

Key components

Intelligent ingestion

Rule-based automatic ingestion and management capabilities enable scene indexing and post-processing of logs to enrich data with relevant information for testing and training of ML-based or integrated systems.

Visualization

Ingest metrics from drive logs with built-in support for common formats (ROS bags, CAN, DDS, etc.). Play back drive logs in a cloud-based visualizer. Add logs as tiles and overlay sensors for accurate debugging.

Querying

Search across all metrics from recorded logs and enriched data, including object detections, behavior annotations, saved regions, and map entities. Annotate each drive log and enable development teams to surface relevant snippets quickly.

Curation and sharing

Collectively root-cause critical events and filter events automatically based on predefined rules or re-simulation results. Export raw sensor data or create simulation scenarios.

Key components

Intelligent ingestion

Rule-based automatic ingestion and management capabilities enable scene indexing and post-processing of logs to enrich data with relevant information for testing and training of ML-based or integrated systems.

Visualization

Ingest metrics from drive logs with built-in support for common formats (ROS bags, CAN, DDS, etc.). Play back drive logs in a cloud-based visualizer. Add logs as tiles and overlay sensors for accurate debugging.

Querying

Search across all metrics from recorded logs and enriched data, including object detections, behavior annotations, saved regions, and map entities. Annotate each drive log and enable development teams to surface relevant snippets quickly.

Curation and sharing

Collectively root-cause critical events and filter events automatically based on predefined rules or re-simulation results. Export raw sensor data or create simulation scenarios.

Get started with Data Explorer

Learn how to use logged sensor and system data to accelerate ADAS and AD development and testing.
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