In automated vehicles, the seat-of-the-pants feel comes from the Bosch cloud

General News

Summary

Up to the highly automated SAE level 4, the decision as to whether a car can assume the task of driving depends on factors such as road type, speed range, and environmental conditions. If the vehicle’s route takes it through rain, it will adapt its speed well in advance to a level that excludes any risk of aquaplaning and allows it to stop safely at any time. For this reason, road-weather forecasts will initially be the only reliable source of information for drawing sound conclusions about road conditions, especially in rural areas where there is less traffic. Thanks to a worldwide reference measuring fleet and machine learning methods, Bosch and Foreca have jointly been able to optimize the safety and availability of the road-weather models. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source.

Classifications

industries
Fintech & Banking
applications
AI & Machine learning

AskAI Classifications

Labels
Weather Data & Analytics Software API Platform Developer Tools

Linked Companies

Foreca Ltd
$1M to $5M