What is the trend of cloud-detecting technology?

The development of cloud-detecting technology for self-driving cars presents a disruptive innovation opportunity to enhance the safety and efficiency of autonomous vehicles on the road.

What is the trend of automated sensation recognition?

The advancement of automated vehicles with the ability to understand sensations on the road, similar to humans, opens up disruptive innovation opportunities in improving the decision-making and hazard detection capabilities of self-driving cars.

What is the trend of collaborative data sharing?

The implementation of collaborative data sharing among self-driving cars and the use of shared information to improve hazard detection systems presents disruptive innovation opportunities to create a network of collective intelligence for autonomous vehicles.

What are the implications for the automotive technology industry?

The automotive technology industry can leverage cloud-detecting technology and automated sensation recognition to enhance the safety and performance of self-driving cars.

What are the implications for the weather information services industry?

Weather information service providers, such as Foreca, can capitalize on their data to offer specialized cloud-based hazard detection systems for self-driving cars, contributing to the advancement of autonomous vehicle technology.

What are the implications for the data analytics and artificial intelligence industry?

The data analytics and artificial intelligence industries play a crucial role in developing algorithms and systems that enable collaborative data sharing and facilitate the improvement of hazard detection capabilities in autonomous vehicles.

Hazard-Detecting Car Systems : Cloud-detecting Technology

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Bosch Launched a Cloud-Detecting Technology for Self-Driving Cars

Justin Lam — July 26, 2018 — Autos

References: digitaltrends & engadget

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Bosch recently introduced a new cloud-based cloud-detecting technology that aims to ensure self-driving vehicles remain safe on the road. According to Bosch, this new technology can allow automated vehicles the ability to understand sensations on the road in a similar way humans do while driving. According to Bosch management board member Dr. Dirk Hoheisel, this new cloud-detecting technology can alert autonomous vehicles to hazards "before critical situations can develop."

Bosch plans to release this cloud-detecting technology in 2020 and it will rely entirely on Foreca's weather information. However, in the future, the system will also take in information shared by self-driving cars to perfect its detecting system. Bosch hopes that this system will not have to hand over control to humans, even when conditions grow dangerous.

Image Credit: Bosch

Trend Themes

Cloud-detecting Technology — The development of cloud-detecting technology for self-driving cars presents a disruptive innovation opportunity to enhance the safety and efficiency of autonomous vehicles on the road.
Automated Sensation Recognition — The advancement of automated vehicles with the ability to understand sensations on the road, similar to humans, opens up disruptive innovation opportunities in improving the decision-making and hazard detection capabilities of self-driving cars.
Collaborative Data Sharing — The implementation of collaborative data sharing among self-driving cars and the use of shared information to improve hazard detection systems presents disruptive innovation opportunities to create a network of collective intelligence for autonomous vehicles.

Industry Implications

Automotive Technology — The automotive technology industry can leverage cloud-detecting technology and automated sensation recognition to enhance the safety and performance of self-driving cars.
Weather Information Services — Weather information service providers, such as Foreca, can capitalize on their data to offer specialized cloud-based hazard detection systems for self-driving cars, contributing to the advancement of autonomous vehicle technology.
Data Analytics and Artificial Intelligence — The data analytics and artificial intelligence industries play a crucial role in developing algorithms and systems that enable collaborative data sharing and facilitate the improvement of hazard detection capabilities in autonomous vehicles.

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