Autonomous Mobility
Through Testing and Automation
A major automotive subsidiary pioneered a next-generation ride-sharing Proof of Concept using autonomous vehicles. We As Web delivered a multi-layered testing strategy — iterative functional testing, ECU Test automation, Canoe protocol validation, and structured Jira feedback loops — laying a scalable testing foundation for the long-term rollout.
Discuss Your Project →A major automotive subsidiary pioneering autonomous ride-sharing
A major automotive subsidiary sought to pioneer a next-generation ride-sharing service utilizing autonomous vehicles. The core initiative was to create a Proof of Concept (PoC) that would allow for the remote supervision and control of vehicles during operational anomalies. Developing this capability was crucial for the client to enhance cost efficiency, improve overall fleet management, and uphold the highest safety standards in an autonomous driving environment.
What prompted the project
The client required a comprehensive testing framework to validate the PoC's functionality — with state management and remote escalation as the two top concerns.
State Management
Monitoring and managing the vehicle's operational state, including passenger boarding, secure door and trunk closures, and real-time fault detection.
Remote Escalation Protocols
Establishing protocols for situations where automated corrections failed (e.g., a prolonged door opening) so that remote operators could seamlessly intervene using live data streams.
Why an expert partner was required
Testing an early-stage autonomous PoC presented two unique obstacles — ambiguous requirements and physical hardware constraints.
What We As Web delivered
To navigate these complexities, We As Web deployed a multi-layered testing strategy that balanced functional validation with iterative automation.
Iterative Functional Testing
Proactively identified inconsistencies in fluid requirements, collaborating closely with stakeholders to refine expectations.
Test Automation
ECU Test as the primary framework for scripted test execution, supplemented by Python-based scripts for repetitive scenarios.
Protocol Validation
Canoe integration to validate communication protocols — ensuring robust interaction between software components.
Structured Feedback Loops
Jira to continuously document testing insights and drive iterative improvements aligned with the evolving PoC.
Strategic Alignment
Weekly strategic discussions with the Test Manager to align priorities, mitigate roadblocks, and refine methodologies.
A scalable testing foundation for the long-term rollout
While the overarching project remains in the PoC phase, the testing engagement has already achieved critical milestones.
Successfully automated complex test procedures, drastically accelerating test execution and reliability.
Refined functional testing methodologies to better handle evolving requirements.
Established a systematic, highly structured approach to evaluating autonomous system performance.
Laid a comprehensive and scalable testing foundation necessary to support the long-term rollout of the autonomous ride-sharing service.
Multi-layered testing for autonomous systems
A focused automotive testing stack — Canoe for protocols, ECU Test for automation, Python for glue scripts, and Jira for traceability.
When autonomous mobility needs a testing foundation, not a one-off
An autonomous vehicle PoC cannot rely on a one-off test pass — it needs a testing foundation that scales with the program. By deploying a multi-layered testing strategy with iterative functional testing, ECU Test automation, Canoe protocol validation, and structured Jira feedback loops, we gave this automotive subsidiary a testing capability that adapts as the PoC evolves.
The result is successful automation of complex procedures, refined methodologies for evolving requirements, and a scalable foundation for the long-term rollout. For any automotive or autonomous program in its early stages, this is what a testing partnership that grows with the program looks like in production.