Even top-tier autonomous vehicles occasionally require human intervention. Remote assistance operators need not master parallel parking or mirror adjustments, yet they must remain vigilant, well-trained, and prepared to decide for heavy vehicles from a desk setup. This creates a need for specialized instruction, often termed driverless education.

Preparing Remote Operators for Autonomous Vehicle Support

As rules for self-driving cars develop gradually, the Automated Vehicle Safety Consortium under SAE International looks to current needs. Their recent Best Practice document on ADS Remote Assistance Training and Human Factors provides suggestions for firms running Level 4 and 5 vehicles to build training programs for remote staff and design suitable work settings.

Remote operators watch active vehicles and resolve uncertainties, such as selecting lanes or approving routes, without direct control via simulators. Training should cover traffic laws in the operating area, even if distant, covering variable signs and road lines.

Operators require knowledge of the autonomous system, including sensors and algorithms, plus company-specific details. Understanding data sources and path planning is crucial when viewing feeds and visuals at headquarters.

SAE suggests simulator-based training and evaluation for candidates. These can include hypothetical or actual past events. Ongoing retraining helps maintain proficiency and adapt to updates.

Is a Driver License Necessary?

Surprisingly, the guidelines indicate remote operators might not require a driver's license, as their role differs from traditional driving, though regulatory knowledge overlaps. Firms may still opt to mandate licensing and clean records.

Workstations and processes demand attention too. Boredom from inactivity poses risks, unlike in-car monitoring. The paper advises managing mental load, addressing under-stimulation, and allowing self-reported breaks without penalty.

Roles can include passenger or external communications and emergency responses. Companies decide role divisions.

These recommendations, while intuitive, benefit from formalization and industry-wide sharing. This could encourage greater openness from operators like Waymo and Zoox on their methods. Behind-the-scenes staff aim to help, but performance matters in this fast-paced field.