Overview
Service Overview:
Cloud-based ADAS Hub accelerates the development and deployment of Advanced Driver Assistance Systems (ADAS) and autonomous driving solutions through a secure, cloud-native platform. This service enables automotive companies to process massive volumes of real-time vehicle data, perform large-scale simulations, and deploy updates globally, leveraging AWS-native tools for scalability, performance, and compliance.
- Amazon EC2 & AWS Batch: High-performance computing for large-scale simulations and model training.
- Amazon SageMaker: AI/ML capabilities for continuous ADAS feature improvement and predictive analytics
- AWS Greengrass: Extends AWS capabilities to the edge for low-latency decision-making
- Amazon Kinesis & AWS Lambda: Real-time streaming and processing for vehicle data analytics
Who Should Use This:
OEMs, ADAS solution providers, fleet operators, and mobility service providers looking to accelerate ADAS development and deployment through scalable, cloud-based infrastructure and real-time analytics.
Why Choose Intellias Cloud-based ADAS Hub
Leverage our cloud-native ADAS platform to streamline development, enhance vehicle safety, and ensure compliance with global standards. With built-in AI/ML, real-time data processing, and scalable compute resources, Intellias empowers faster innovation and smarter driver-assist systems across connected fleets.
Service Outcomes
- Reduce development time and cost by eliminating physical testing constraints
- Improve ADAS performance and safety with real-time feedback loops
- Support over-the-air feature delivery and remote calibration for ADAS systems
- Enable predictive maintenance and early detection of system anomalies
- Foster collaboration across global teams with centralized, cloud-based workflows
Service Highlights:
- Scalable data ingestion and processing for terabytes of daily ADAS data
- Virtualized testing and simulation environments for complex driving scenarios
- AI/ML-driven continuous improvement of ADAS features
- Cloud-integrated sensor fusion for enhanced environmental awareness
- Secure, compliant infrastructure ensuring data protection and privacy
Highlights
- Accelerate ADAS development with a secure, cloud-native platform that processes real-time vehicle data, enables large-scale simulation, and supports over-the-air updates for continuous innovation and faster time-to-market.
- Enhance safety and performance through AI/ML-driven improvements, real-time feedback loops, and predictive analytics that optimize ADAS features and ensure compliance with global automotive standards.
- Scale seamlessly on AWS using services like Amazon EC2, SageMaker, and Kinesis to support terabytes of daily data ingestion, virtual testing, and edge intelligence for connected fleets worldwide.
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