“Muzaffer was a peer working in the vision and sensor group for the Daqri augmented reality SmartHelmet. Muzaffer lead efforts to implement power efficient visual inertial navigation algorithms into dedicated FPGA chip. Muzaffer is a brilliant engineer, dedicated to his work, the product and the team. He will be an asset to any hardware team. ”
About
Contributions
Activity
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Please connect with me for Networking Opportunities in the following Area’s Mixed Signal Electronics / PCB Design Group (Analog, RF, Digital, and…
Please connect with me for Networking Opportunities in the following Area’s Mixed Signal Electronics / PCB Design Group (Analog, RF, Digital, and…
Liked by Muzaffer K.
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FINN goes to FPL (again)! We're happy to announce that also this year, we will offer a FINN tutorial at FPL (https://lnkd.in/ev4-fsAP), in Turin…
FINN goes to FPL (again)! We're happy to announce that also this year, we will offer a FINN tutorial at FPL (https://lnkd.in/ev4-fsAP), in Turin…
Liked by Muzaffer K.
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My team is hiring scientists and engineers working in the areas of LLM, NLP, and RL. To learn more about what we do, check out Rajiv's blog post from…
My team is hiring scientists and engineers working in the areas of LLM, NLP, and RL. To learn more about what we do, check out Rajiv's blog post from…
Liked by Muzaffer K.
Experience & Education
Patents
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Methods and systems to facilitate passive relocalization using three-dimensional maps
Issued US20230237692A1
A method includes accessing map data of an area of a real environment, the map data comprising three-dimensional feature descriptors describing features visible in the real environment.
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Distributed sensor module for tracking
Issued US 11,182,647
Distributed Visual Inertial Odometry with image protection.
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Multi-Sensor Position and Orientation Determination System and Device
Filed US US20170336220A1
A system and method for visual inertial navigation are described. In some embodiments, a device comprises an inertial measurement unit (IMU) sensor, a camera, a radio-based sensor, and a processor. The IMU sensor generates IMU data of the device. The camera generates a plurality of video frames. The radio-based sensor generates radio-based sensor data based on an absolute reference frame relative to the device. The processor is configured to synchronize the plurality of video frames with the…
A system and method for visual inertial navigation are described. In some embodiments, a device comprises an inertial measurement unit (IMU) sensor, a camera, a radio-based sensor, and a processor. The IMU sensor generates IMU data of the device. The camera generates a plurality of video frames. The radio-based sensor generates radio-based sensor data based on an absolute reference frame relative to the device. The processor is configured to synchronize the plurality of video frames with the IMU data, compute a first estimated spatial state of the device based on the synchronized plurality of video frames with the IMU data, compute a second estimated spatial state of the device based on the radio-based sensor data, and determine a spatial state of the device based on a combination of the first and second estimated spatial states of the device.
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As part of our release of Llama 3.1 and our continued support of open science, this week we published the full Llama 3 research paper that covers a…
As part of our release of Llama 3.1 and our continued support of open science, this week we published the full Llama 3 research paper that covers a…
Liked by Muzaffer K.
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Excited to share our latest work -- Separable Physics-Informed DeepONet -- with Luis Mandl, Lena Lambers, and Tim Ricken. This is a significant…
Excited to share our latest work -- Separable Physics-Informed DeepONet -- with Luis Mandl, Lena Lambers, and Tim Ricken. This is a significant…
Liked by Muzaffer K.
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