**Description**
By 2030, about 95% of new vehicles sold globally will be connected, up from around 50% today. Around 45% of these vehicles will have intermediate and advanced connectivity features (Source: McKinsey,2021)
Modernization, standardization, and automation are the key steps in the roadmap of data handling for connected vehicles. Vehicle software increasingly sits within a connected ecosystem of devices. Consumer expectations are shifting more towards digital compatibility, connectivity, and new functionalities offered in the autonomous vehicles. Digitalization is turning the vehicles of the future into commodities that are as experiential as they are useful. Many OEMs are at the beginning of this transformation journey and have struggled on the software side of things. Entire automotive industry are putting their efforts to effectively monetize their Data captured during development and management of Autonomous vehicle. It is not easy to handle the complexity, elasticity and volume of data involved.
We are now realizing the possibilities of connected vehicles. Soon, the day will come when data no longer has to be stored directly in the vehicles and will naturally results in an enormous advantage in terms of performance and costs improvements for OEMs. However, the challenge is how automotive industry will manage this transformation and maximize the inherent value of this huge amount of data. E.g. One single car can generate up to 1TB data in an hour. Traditional data storage methods simply cannot effectively manage cost to meet all the needs of customer experience and expectation.
Leveraging the ADAS sensor data to speed up innovation and improve customer experience, will call for a totally new capabilities and infrastructure. Data protection, Data Integrity and Data availability by Load balancing & failover management. Data is one of the assets for an organization but without a robust data Handing it can also most vulnerable. First approach would be to ensure data is secured, protected, available where and when it is needed. Having right strategy can detect problems and automatically provide insights about your data center. This paper will give an excellent overview of required infrastructure and software tools to handle ADAS sensor data throughout its lifecycle to explore new way of data handling within the automotive industry in the world of Autonomous Mobility

**Author(s) - ranked in descending order of contribution / as it should appear when published**
Rojalin Samantaray



ADAS Sensor Data Handling in the world of Autonomous Mobily

SAE International’s AeroTech is the premier global aerospace technology conference and exhibition focused on and celebrating innovation in virtually every facet of modern aerospace and defense mobility, including platform, system, subsystem, component, and material research and development, engineering, manufacturing, assembly, test and validation, certification, integration, deployment, sustainment, safety, security, and sustainability. Innovators and thought-leaders from the global aerospace community convene annually at AeroTech to share and learn about the latest advancements and achievements, advance technical knowledge and innovation, discuss challenges and practical solutions, discover new technologies and techniques, uncover trends and opportunities, network, and collaborate.