Automotive Solutions
Road weather intelligence made available through predictive and detective data – empowering the trajectory towards safe, sustainable, and autonomous driving.
Never permit perilous road weather to jeopardize the safety or operability of vehicles. Klimator's road weather intelligence bridges the gap between nature and innovation.
The 2023 Euro NCAP assessment protocol introduces awarding points for the inclusion of road weather condition intelligence in vehicle safety systems.
The EU legislation 2022/1426 for Autonomous Driving requires an autonomous vehicle to have information on the road weather conditions.
Our Technology
Our solutions combine the use of machine learning, rules-based algorithms, and vast amounts of real-world environment data to create world-leading road weather intelligence.
Current and Forecasted Road Weather Data
RCD is a cloud-based solution providing information about the current and forecasted road weather on an entire road network. Based on 30 years of research, RCD allows the vehicle to see beyond the line of sight.
Road Weather Detection Technology
Road weather detection that allows the vehicle to act on what's AHEAD while in motion, enabling proactive driving. AHEAD is an embedded sensor fusion technology providing extensive real-time information about the prevailing road surface.
Range: ~50m in front of the vehicle
Resolution: High-resolution grid map with 10×10cm grids for the entire FOV
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Use Cases
Our solutions enable different advancements depending on the OEM's use case.
Visualization of slip risk in driver information system
Enable intelligent ADAS solutions in 'non-dry' conditions
Enable safe scalability of Autonomous Driving
Enable more efficient driving
Why Klimator
With our unparalleled legacy within road climatology research, being the founding entity of the topic, we have know-how no other can contend with.
Our models are built on the knowledge basis of road climatology, using a combination of rule-based algorithms and machine learning to find correlations between road surface, surroundings, and the micro-weather. Vehicle data can be a useful input in real-time cross-validation.
We validate in numerous steps, both qualitative and quantitative. The overall approach we employ is out-of-bag cross-validation - which we do on every forecast and for every station, continuously and on the entire road network.
Accuracy can be determined once the scope of service, requirements, and definition of accuracy is established with OEM. Requirements on accuracy tend to vary depending on the use case.
Yes, we have multiple ongoing projects combining RCD and AHEAD technologies for enhanced road weather intelligence.