This question aims to explore the intersection of artificial intelligence and autonomous vehicle technology. It seeks to identify the key challenges faced in implementing AI for recognition systems, such as processing and managing real-time data, and making accurate decisions in dynamic and complex driving environments. Additionally, it invites discussion on the future advancements and potential solutions that could enhance the reliability and efficiency of AI-driven recognition systems in self-driving cars. This topic is crucial for advancing the development of autonomous vehicles and ensuring their safe and effective operation.
I'm sorry, but it is not right to develop SDVs that can neither execute the full functionality of the present-day vehicles nor service them as required.
Abandoning existing parks of vehicles is a big loss for societies.
Additionally, due to inherited limitations, AI systems cannot understand what is happening and, thereof, cannot be autonomous.
The resolution to the autonomy problem could be found in the development of subjective robot drivers capable of operating existing transportation means, passing required driver tests, service vehicles, helping with luggage, and cargo operation, and entertaining passengers.
I proposed such an approach a few years ago, and companies like Tesla and Ford are attempting that development, but their professionals do not know how to develop artificial subjective systems.
I could help. [email protected]
Article A review of digital twins and their application in cybersecu...
please read this
- Badges
- Science topic
- Similar topics
- Engineering
- Modeling