The scope evolved quite a lot, with the concept being to create a learning platform for environmental multi-sensor fusion. The current cut-down development kit hosts just the air quality ...

Multisource fusion systems seek to combine information from multiple sources and sensors in a wide variety of applications in order to achieve analysis and decision-supporting inferences that cannot ...

Compared to traditional chemical detection methods, UV-Vis and NIR spectra provide fast, simple, and multi-component analysis ... they optimized the UV-Vis-NIR fusion models for surface water ...

In this case, sensor fusion is the integration of 3D Hall elements, advanced low-cost and multi-featured MCUs, and next-generation motor-control solutions. Going forward, expect sensor fusion to ...

Innovations in AI, AIoT, edge computing, and sensor fusion are driving the next generation of advances in smart cities and ...

Based on Bayesian multi-sensor fusion, they developed a new full-probability deflectometric measurement method, which has reformulated the traditional measurement process as a Bayesian estimation ...

Pulin Desai, group director for product marketing, management and business development at Cadence, talks about challenges with sensor fusion, the growing importance of four-dimensional sensing, what’s ...

With Axis camera integration, Dedrone is the first counter-UAS (cUAS) company to provide proven artificial intelligence (AI)- and machine learning (ML)-driven multi-sensor fusion to autonomously ...

This fusion of sensor data could be delivered to operators ... s electronically scanned array radar, could provide a multi-domain operational picture, said Sears. “We’re going to connect ...