Some automotive brands are taking automation a step further, innovating to enable vehicles to communicate with nearby infrastructure and even pedestrians, adding a new dimension to how automation can benefit society.
AWS believes that the right technology infrastructure is critical for the production of these vehicles, which require high-performance computing capacity, seamless cybersecurity, and the ability to manage vast data sets. Here are some of the key reasons why many organisations are turning to the cloud to develop and deploy autonomous cars at scale:
Training and testing
Autonomous cars strive to create vehicles that operate more safely than humans. Delivering on this ambition requires extensive modelling and testing. The ability to collect, store, and manage data is critical, as are advanced machine learning techniques.
Toyota Research Institute (TRI) believes that accurately training autonomous cars requires trillions of miles of testing. To deliver on this, it has a fleet of test cars equipped with Light Direction and Ranging (Lidar) Sensors to record data, collecting terabytes of data every day, needing quick retrieval and analyses. TRI uses AWS to manage this data and access the processing power required to train machine learning models quickly.
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