Hands off.
Wisdom on.
As execution moves from human hands to systems, what patterns emerge? What questions endure?
A quiet space for engineers and thinkers: a funnel from raw live data to profound wisdom.
Start with Live Data Jump to WisdomThe Funnel: From Data to Wisdom
We guide you through a progression: starting with real-time live data streams (e.g., weather or traffic APIs), to curated datasets, data-derived insights, practical knowledge, and finally reflective wisdom on hands-off systems like autonomous vehicles, robotics, and digital agents.
This structure helps build understanding layer by layer — for builders, researchers, and questioners. A service by viable.works Technology Consulting GmbH.
Live Data Streams
Real-time APIs and feeds providing ongoing data relevant to hands-off systems. Use these for monitoring, prototyping, or integrating into autonomous applications — e.g., weather data acquired live to adjust vehicle behavior.
OpenWeatherMap API
Real-time global weather data including temperature, precipitation, wind, and forecasts. Critical for AVs adapting to rain, fog, or storms on the fly.
Access API →TomTom Traffic API
Live traffic flow, incidents, and hazards with real-time updates. Supports autonomous routing and hazard avoidance in dynamic urban environments.
Access API →HERE Real-Time Traffic API
Minute-by-minute flow and incident data from probes, sensors, and operations centers. Essential for congestion prediction in hands-off mobility.
Access API →Visual Crossing Weather API
High-frequency real-time weather insights with parameters for AD/ADAS, including road surface conditions and forecasts beyond sensor range.
Access API →Xweather Road Weather Service
Real-time road surface and weather data for autonomous driving, predicting undetectable phenomena with millimeter-level detail.
Access Service →More streams added as we curate. Focus on open or developer-accessible sources for real-time integration.
Data Sets
Curated static datasets for historical analysis and model training — the next layer after live streams, providing context and patterns over time.
Waymo Open Dataset
Large-scale sensor data from real driving, revealing edge cases in perception and behavior.
Visit Dataset →nuScenes
Multi-modal data for urban autonomy, with annotations for prediction and planning.
Visit Dataset →MARS Dataset
Multi-agent traversals for collaborative perception and real-world variance.
Visit Dataset →Insights
Data-derived takeaways — quick, actionable nuggets from streams and sets, bridging raw data to deeper knowledge.
Weather Impact on AV Reliability
From datasets like nuScenes: Rain reduces sensor accuracy by up to 30% in urban settings — live weather APIs can mitigate with adaptive planning.
Explore Insight →Traffic Congestion Patterns
TomTom/HERE data shows peak-hour delays increase energy use in EVs by 15-20% — implications for hands-off fleet optimization.
Explore Insight →Edge Case Frequency in Robotics
Waymo data: 1 in 500 km encounters unexpected obstacles — live streams help simulate and prepare for rarity.
Explore Insight →Knowledge
Practical know-how built on insights — how-to's, analyses, and technical deep dives into hands-off systems.
Wisdom
Reflective pieces on the bigger picture — ethics, long-term implications, and human elements in an autonomous world.
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