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Sensors are increasingly important in mobile devices. Combining data from cameras, microphones, inertial sensors, beacons (e.g., GPS) and proximity-based sensors can greatly improve the accuracy and ...
With the ongoing revolution in powerful and intelligent device development such as smart phones, new applications are being enabled at a rapid pace and system development often fails to keep up with ...
Sensor fusion or multi-sensor fusion has its roots in military intelligence. Today, the technology is being employed in several non-military applications including robotics, automotive, medical, and ...
Sensor fusion has been around for many years and is ubiquitous in mobile device designs. Sensor fusion “fuses” data from different types of sensors to improve measurement accuracy, such as for motion ...
Mercury’s high-performance RES AI GPGPU computing servers can harness up to eight NVIDIA GPUS to accelerate demanding artificial intelligence (AI), signal intelligence (SIGINT), and sensor fusion ...
Sensor fusion refers to the combining of data from multiple sensors to obtain more complete and accurate results. By using the information provided by multiple sensing devices, it is possible to ...
The collaboration demonstrates a real-time AI sensor fusion architecture that integrates TI mmWave radar and camera sensors using NVIDIA Holoscan Sensor Bridge running on Lattice’s low power FPGA. The ...
HILLSBORO, Ore.--(BUSINESS WIRE)--Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced a new 3D sensor fusion reference design to accelerate advanced autonomous ...
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