针对新项目的创新及协作式同步项目管理
A revolution is transforming the automotive industry. Powerful digital technologies are driving demand for autonomous transport solutions, and they are disrupting existing approaches to car building. These smart and connected vehicles powered by Artificial Intelligence represent a considerable challenge and opportunity for automakers. Developing future vehicles comes with a great increase in complexity, so the right tools and technology partners will be needed.
Siemens Autonomous Vehicle Development solutions offer a full set of tools for all key technical domains to cover every development aspect, on the level of the chip, E/E system, full vehicle, and even city level.
A revolution is transforming the automotive industry. Powerful digital technologies are driving demand for autonomous transport solutions, and they are disrupting existing approaches to car building. These smart and connected vehicles powered by Artificial Intelligence represent a considerable challenge and opportunity for automakers. Developing future vehicles comes with a great increase in complexity, so the right tools and technology partners will be needed.
Siemens Autonomous Vehicle Development solutions offer a full set of tools for all key technical domains to cover every development aspect, on the level of the chip, E/E system, full vehicle, and even city level.
The race to lead autonomous vehicle development has begun. New digital technologies are driving demand for smart connected products like self-driving cars. Forecasts predict many trillions of dollars of economic activity from new and existing automakers, shared mobility services, and an increasingly varied auto supply chain over the next few decades. You can expect an unprecedented increase in vehicle development complexity in an already challenging market with fierce global competition from technology companies. New vehicle development approaches are required to take a leading position in developing ADAS and autonomous vehicles of the future. To deliver these complex autonomous transport solutions in a safe, reliable way and at the right cost demands radical changes to the way the vehicles are designed, manufactured, and sold. A digital transformation is needed, and Siemens can provide you with the powerful Autonomous Vehicle Development tools you need to succeed.
At the heart of self-driving vehicles resides powerful embedded software, chips, and electronics. These vehicles will rely heavily on artificial intelligence, and as a result, they will require extensive testing, verification, and validation.
Being highly complex machines, AVs will involve cross-domain engineering from integrated circuit design to city infrastructure and vehicle deployment. To tackle this complexity and facilitate validation, an integrated solution of simulation, testing, virtual validation, and engineering is required.
Siloed approaches for managing individual systems won’t suffice when tackling the increased complexity of Autonomous Vehicle Development. Instead, developers must integrate all processes within a comprehensive digital solution. Siemens’ solutions for Autonomous Vehicle development enable an agile, model-based development with integrated data flows and software-based simulation capabilities. Learn more today.
将复杂性转化为竞争优势
Autonomous vehicle (AV) technology is causing a considerable transformation in the automotive industry, greater than any other witnessed before sin...
从如今的 1、2 和 3 级高级驾驶辅助系统 (ADAS) 功能到开发完全自动驾驶车辆 (AV) 所需的功能之间,仍然存在差距。为了弥补这一差距,自动驾驶车辆需要依赖城市和其他自动驾驶车辆传感器反馈来提供更安全、高效的路线引导和自动驾驶,而这一切需要交通管理系统充分互联。但是,随着车辆与其他基...
每一辆自动驾驶车辆的背后,都需要更加广泛的协同式工程和运营见解。自动驾驶车辆 (AV) 依赖城市和其他 AV 传感反馈来提供更安全、高效的路线引导和自动驾驶。通过考虑更广泛的范围,包括车辆工作环境,系统工程 (SE) 可以帮助自动驾驶车辆开发和运作。同时,基于模型的系统工程 (MBSE) 通过...
As the requirements for E/E systems increase, the industry is battling against ever-increasing costs and system complexity alongside reduced time to get to market
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Siemens' integrated and comprehensive solutions support the creation and implementation of mature product development processes that will enable the industry to move autonomous vehicles from concept to reality.
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