Log visualization and triage

Understand field testing issues as you scale advanced driver-assistance systems (ADAS) and automated driving (AD) development.

See the workflow

“Level 4 self-driving service technology requires driving on roads with high complexity and high uncertainty. Therefore, we need a dependable partner like Applied Intuition to quickly secure reliable autonomous driving technology.”

Junghee Park

Co-Founder and CEO

Customer challenge

As ADAS and AD programs mature, they use real-world testing. Teams need to find and resolve issues in real-world drive logs quickly and at scale.

Petabytes of data in varying formats

Issues are sparse and hidden

Identifying issues is manual and time-consuming

Existing tools are disparate and focused on specific tasks

Applied Intuition’s solution

Applied Intuition’s log visualization and triage solution allows teams to automatically identify, triage, and resolve issues in real-world drive logs.

Log visualization in the cloud

Applied Intuition Copilot to automatically extract events from logs

Triage workflow to review and identify issues

Integration with issue tracking systems for easy hand-off

Identify field testing issues and reproduce them easily

01

Extract interesting events

Visualize any 3D data from maps, logs, predictions, and more. Set up custom rules and run built-in open-vocabulary perception models to identify key events in real-world logs automatically.

Data Explorer

02

Re-simulate events

Create re-simulation scenarios to reproduce issues deterministically, accurately, and reliably. Test new versions of an ADAS or AD stack on the same scenarios.

Data Explorer Log Sim Cloud Engine

03

Triage issues

Utilize a dedicated triage workflow to review key issues quickly, identify true issues, determine their severity, and understand root causes. Utilize AI to automate initial triage and extract insights across both structured and unstructured data.

Data Explorer

04

Hand off to developers

Export events into datasets or re-simulation scenarios, and provide full context by linking them to Jira issues.

Data Explorer