Remote Vehicle Assistance UXR ensures seamless interaction between remote operators and AVs which studies assess cognitive load, response times, and multi-vehicle control to optimize system performance.

DDD’s deep understanding of AV operations enables faster, more effective RVA system development, reducing inefficiencies compared to in-house teams.

Driver and Cabin Monitoring Systems (DMS/CMS) are crucial for fleet safety, tracking driver attentiveness, and in-cabin activity.

DDD’s experience in autonomous safety solutions helps fine-tune DMS/CMS systems through rigorous data validation, enhancing product accuracy and compliance.

RVA enables real-time remote support for AVs using live video, telemetry, and metadata ensuring smooth navigation in unforeseen conditions.

DDD’s US-based teams establish secure, scalable RVA Centers that meet operational needs while maintaining compliance and efficiency.

Human-in-the-loop annotations help identify key AV events, such as pedestrian interactions or edge cases, for model training and performance analysis. 

DDD’s AV expertise ensures precise event tagging, improving data quality and reducing the workload on in-house engineering teams.

Classifying AV exposure to conditions like weather, traffic density, and road types is essential for evaluating system reliability enhancing model training and deployment strategies.

DDD’s specialized annotation teams streamline classification, ensuring high data accuracy and operational efficiency.

Categorizing AV footage enables efficient retrieval of critical events, like near-misses or policy violations, for compliance and ML training. 

DDD develops tagging frameworks and executes large-scale video classification to support fleet managers and AI teams.

Evaluates an AV fleet’s exposure to various road conditions, helping teams balance testing across all relevant scenarios.

DDD compiles specialized reports detailing exposure trends, assisting product teams in optimizing their AV fleet’s real-world readiness.