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Radio Detection News Today : Breaking News, Live Updates & Top Stories | Vimarsana

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Understanding mmWave RADAR, its Principle & Applications - Vimarsana News

Understanding mmWave RADAR, its Principle & Applications

We will review and understand the technical aspects, application aspects, some mmWave RADAR concepts, estimation techniques, and MIMO concept. We will also look at different implementation platforms for RADAR estimation DSP part.

Forgotten Electrical Engineer's Work Paved the Way for Radar Technology - Vimarsana News

Forgotten Electrical Engineer's Work Paved the Way for Radar Technology

Sallie Pero Mead made major discoveries about how electromagnetic waves propagate that allowed objects to be detected at a distance

Automotive ADAS Aftermarket Market to grow by USD 8.09 billion by 2027; A decline in sensor prices is the key driver of the market - Vimarsana News

Automotive ADAS Aftermarket Market to grow by USD 8.09 billion by 2027; A decline in sensor prices is the key driver of the market

/PRNewswire/ -- The automotive ADAS aftermarket market is estimated to grow by USD 3.18 billion from 2022 to 2027, growing at a CAGR of 10.5%. The automotive...

INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles - Vimarsana News

INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers have developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even…

INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles - Vimarsana News

INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road.