RideFlux expands operations and increases ODD coverage by 5x
.webp)
The RideFlux fleet started with just one test vehicle, but the team quickly needed to operate, collect drive logs, and resolve issues on multiple robotaxis at a time. As RideFlux discovered limitations with its in-house tooling, it started looking for third-party tools that would be able to scale and automate workflows for its growing fleet.
Along with its growing fleet of robotaxis, RideFlux decided to expand its ODD. Soon, the team’s in-house simulation tool could no longer create the large volume, variety, and complexity of scenarios needed to cover its ODD. Additionally, the scenario creation process was too manual and time-consuming to scale effectively.
RideFlux uses Data Explorer to efficiently manage drive logs from its growing fleet of robotaxis. Data Explorer also allows the team to conveniently filter and search its entire drive log collection for specific events of interest.
Data Explorer’s user interface (UI) makes it easy to understand drive data, identify the cause of an issue, and resolve issues without needing to open large raw data files.
Log Sim enables RideFlux to create test cases from drive data. Using re-simulation, the engineering team can debug on-road events with the autonomy stack in the loop, test different versions of the stack on past drives, and catch regressions before they get deployed to the vehicle.
Object Sim’s easy-to-use UI allows the RideFlux team to create scenarios faster than with its in-house simulator. It also allows the team to specify intelligent actor behaviors and automatically generate multiple scenario variations from one base scenario to build ODD coverage on scenarios that weren’t captured by drive data or re-simulation.
Through Object Sim, RideFlux can easily define and customize test criteria and set automatic checks to quickly determine whether a test passed or failed.
With each new software update, RideFlux tracks changes, catches regressions on existing scenarios, and compares test results with the performance of previous software versions.
Using Applied Intuition’s software, RideFlux can now efficiently collect, manage, and resolve issues on its growing fleet of robotaxis. The team can dedicate a smaller headcount to these workflows than when it was building and maintaining tools in-house.
Applied Intuition’s software empowers RideFlux developers to quickly evaluate simulation and vehicle tests, easily share results with their team members, and utilize re-simulation to validate fixes. This improved workflow has helped the RideFlux team identify and solve a larger amount of issues, decrease its issue resolution timeline, and speed up its development cycle.
Since using Object Sim and Log Sim, RideFlux has grown its scenario library by over 3x and increased coverage by over 5x while expanding its ODD.
.webp)
.webp)
