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13 lip 2020 · Leveraging data on millions of individual vehicle histories, we can detect dominant ‘motifs’ of sensor readings, usage patterns and diagnostic trouble codes that precede and predict failures ...
- Are Investors Right To Be Bearish In The Shifting Startup Landscape
In an environment bristling with rising uncertainty,...
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Still, it’s good to get an idea of what hackers are doing,...
- Gamescon Gaming News From Amd, Nvidia And Qualcomm
Members of the Tirias Research team have consulted for AMD,...
- Can We Slice Up a Brain To See How Neural Networks Should Work
If you can get past the coining of yet another new word to...
- AI’s Next Leap
Trillions of Tokens: Modern AI models are being trained on a...
- Are Investors Right To Be Bearish In The Shifting Startup Landscape
8 wrz 2024 · When cars transmit information in real time to other cars and the various sensors posted along and above the road, the technology is known broadly as vehicle-to-everything, or V2X. Last month, the U.S. Department of Transportation unveiled a national blueprint for how state and local governments and private companies should deploy the various ...
Automotive data includes vehicle specifications, maintenance records, vehicle history reports, fuel consumption data, and telematics data. It’s used for vehicle research, market analysis, predictive maintenance, insurance underwriting, and fleet management.
17 wrz 2018 · Today, there are two developments driving the automotive industry towards compact, robust high-speed communication solutions: ever-increasing data rates and the demand for miniaturization.
1 wrz 2021 · We aim to understand what prevents automotive OEMs from applying data-driven methods, what needs practitioners formulate, and how collecting and analyzing usage data from vehicles can enhance UX activities.
13 lut 2024 · In this article, we develop an empirically and theoretically grounded taxonomy of data-driven business models in the connected car domain to explore the impact of car connectivity and data availability on business models.
14 lut 2021 · Now that we’ve introduced some examples of data sources and applications for/of data fusion for self-driving cars, let’s dive deeper into a case study for data fusion for autonomous vehicles: sparse data fusion between lidar point clouds and RGB pixels for semantic segmentation.
