To bring autonomous vehicles to the consumer market, developers and data scientists need to develop, train, and deploy increasingly complex machine learning (ML) models and algorithms. Using ML and artificial intelligence solutions on AWS, they can access robust self-managed tools and scalable infrastructure to develop cost-effective models and algorithms in the cloud. With these tools in place, manufacturers can build powerful solutions to facilitate critical self-driving functions, including lane-keeping assist, adaptive cruise control, and automated emergency braking, accelerating their time to market.
Partner Solutions
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Total results: 3
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KPIT SIL Platform for scenario based ADAS, AD testing and…
More and more OEMs are in the process of bringing Level 3 and above ADAS/AD vehicles to market this also includes commercial vehicles. To optimize the time to market a solution for ADAS/AD testing is needed that offers scale i.e., running 1000s of tests simultaneously, is cloud enabled and can execute testing of ADAS/AD Features (e.g., AEB, ACC etc.), Functions (e.g. Sensor fusion etc.) and components (Camera, Lidar etc) The KSIL platform is a cloud-based test management framework. The Platform integrates with scenario and KPI databases, enables selection of scenarios against which the feature or function should be tested, executes 1000s of test runs simultaneously and provides results against KPIs on a visualization dashboard where each scenario can be viewed (video) and also downloaded as reports. The solution has already been deployed on AWS and is being utilized for global OEMs for testing upto Level 4 autonomy