
zeit.de
VW and Bosch to Launch Automated Driving Platform by 2026
Volkswagen and Bosch will launch a shared automated driving software platform by mid-2026, potentially available in the new ID.1 electric car by 2027, utilizing AI and proprietary code to increase accessibility and reduce US tech dependence.
- What is the immediate impact of Volkswagen and Bosch's new automated driving platform on the automotive industry?
- Volkswagen and Bosch are collaborating to launch a joint automated driving software platform by mid-2026, potentially equipping affordable vehicles like the ID.1 electric car with this technology as early as 2027. This collaboration aims to make automated driving accessible to millions of drivers, expanding beyond the current high-price segment.
- How will the use of artificial intelligence and proprietary source code affect the cost, safety, and accessibility of automated driving technology?
- The new platform, developed using AI for object recognition, steering, braking, and traffic analysis, will utilize proprietary source code to enhance data privacy and security, reducing reliance on US technology. The standardization and high-volume production are expected to lower costs, although pricing will vary across brands.
- What are the long-term implications of this collaboration for the global automotive landscape, considering factors like technological independence and the broader adoption of automated driving systems?
- This initiative signifies a significant shift in the automated driving market. By making the technology available in more affordable vehicles, Volkswagen and Bosch could democratize access to advanced driver-assistance systems, impacting traffic safety and driver behavior. The use of proprietary code underscores a strategic move towards technological independence.
Cognitive Concepts
Framing Bias
The framing is generally positive, emphasizing the potential benefits of the technology, such as lower costs and broader accessibility. The headline (if one existed) likely would reinforce this positive perspective. The focus on "millions of private drivers" and the mention of a more affordable car like the ID.1 also contributes to a positive framing.
Language Bias
The language is mostly neutral and factual, using precise technical terms and avoiding emotional or sensational language. However, phrases like "Millionen privater Autofahrer" (millions of private drivers) could be seen as slightly promotional, implying widespread acceptance without concrete evidence.
Bias by Omission
The article focuses heavily on the technological aspects and economic implications of the collaboration between Volkswagen and Bosch on automated driving, but it omits discussion of potential downsides, such as job displacement in the automotive manufacturing sector due to automation or the ethical considerations surrounding accidents involving autonomous vehicles. It also doesn't address potential environmental impacts of increased car usage enabled by autonomous driving features.
False Dichotomy
The article presents a somewhat simplistic view of the impact of this technology, focusing on the potential for widespread adoption among "millions of private drivers." It doesn't fully explore alternative scenarios, such as limited adoption due to cost, safety concerns, or regulatory hurdles.
Gender Bias
The language used is largely gender-neutral, although the use of "Fahrende" (drivers) in one instance is slightly more inclusive than the repeated use of the masculine form. However, there is no overt gender bias in the selection of sources or the discussion of the technology's impact.
Sustainable Development Goals
The development and implementation of a new software platform for automated driving by Volkswagen and Bosch promotes innovation in the automotive industry and improves infrastructure through safer and more efficient transportation. The use of AI in analyzing urban traffic scenarios and the behavior of other road users also contributes to better infrastructure management and planning. Furthermore, making this technology available in more affordable vehicles increases accessibility and economic benefits.