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As the Internet of Things (IoT) evolves, decentralized, distributed-intelligence concepts such as “fog computing” are taking hold to address the need for lower latencies, improved security, lower ...
III. SENSOR DATA PROCESSING . We have focused here on the process of converting data to information. The implementation of higher-layer processing is tougher to move from the ECU out to the sensory ...
One of the basic problems that still needs to be solved is how to process the tremendous amount of data coming from the variety of sensors in the vehicle, including cameras, radar, LiDAR and sonar.
Real-world AI, or applying AI to the physical world, requires transforming data into valuable intelligence, making sensor-produced raw data foundational for intelligent, autonomous systems.
Intelligent processing of this data will be one of the major challenges in the future. Data from optical sensors have to be processed to a certain level directly at the sensor. In simple cases, ...
NEWARK, Del, June 28, 2023 (GLOBE NEWSWIRE) -- The global sensor hub market size is projected to exceed a valuation of US$ 26.3 billion in 2023. It is anticipated to attain a valuation of US$ 102. ...
Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...
Cisco sensor technology allows us to gather data in real time, bringing us the ability to make site-specific grape growing decisions year after year based on our vineyard’s microclimates.” More ...
Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with it?