High Resolution 4D Imaging Radar

We use a patented solid state analog beamformer and off-the-shelf optical networking components to create a 4D high resolution representation of the world around us at the cost of conventional radars.

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General Radar Second Sight™

General Radar Second Sight™

General Radar Second Sight™

At long range, even large objects appear on radars as single point reflections making it impossible to recognize them from point cloud analysis.

Using multidimensional radar cross-section capture and machine learning, our technology can identify and track radar reflections from as far away as 300m to provide early warning for hazards and gather useful localization information.

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Stealth Radar for Military Grade Security

Stealth Radar for Military Grade Security

Stealth Radar for Military Grade Security

Interference with primary navigation sensors causes accidents. As use of radars becomes more commonplace on the roadways and in the skies so will radar interference from other vehicle.

General Radar emits a difficult to detect signal and doesn’t interfere with other radars. It’s also nearly impossible to intentionally jam.

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Automotive Sensor Comparison

Naked
Eye

Lidar
 

Lidar
in Rain

Lidar &
2D Radar

General
Radar

Perception:
Human

Conditions:
Ideal light and weather

Visible Objects:

  • Leading car
  • Overpass
  • Pothole

Undetected Objects:

  • Bicyclist

Threat Level:
Normal

Sensor Note:
Human eyesight is adequate for driving in good weather and light

Perception:
Lidar

Conditions:
Ideal light and weather

Visible Objects:

  • Leading car
  • Overpass
  • Pothole

Undetected Objects:

  • Bicyclist

Threat Level:
Elevated

Sensor Note:
Lidar provides high resolution scan in good weather. It is unable to detect the bicycle in the shadow of the leading car.

Perception:
Lidar

Conditions:
Heavy rain

Visible Objects:

  • Lidar range is severely reduced

Undetected Objects:

  • Leading car
  • Overpass
  • Pothole
  • Bicyclist

Threat Level:
Very high

Sensor Note:
Lidar system requires support in bad weather

Perception:
Lidar uses Lidar & 2D Radar

Conditions:
Heavy rain

Visible Objects:

  • Large object Immediately in front of it

Undetected Objects:

  • Bike and Pothole lost in noise
  • Unable to determine if bridge is road hazard

Threat Level:
High

Sensor Note:
2D Radars work in bad weather but are not primary sensors

Perception:
General Radar with Second Sight

Conditions:
Heavy Rain

Visible Objects:

  • Leading Car
  • Bridge
  • Pothole
  • Second Sight → Bicycle!

Undetected Objects:

  • None

Threat Level:
Below normal

Sensor Note:
General Radar generates 3D Point Clouds for the objects it clearly sees and Is able to guess at the objects that do clearly resolve.

Naked
Eye

Lidar

Lidar
in Rain

Lidar &
2D Radar

General
Radar

Introducing the Mark IV-RCS

Introducing the Mark IV-RCS

Introducing the Mark IV-RCS

General Radar is selling a high resolution, short to long range 3D scanning radar for the 76~81GHz automotive radar band for autonomous vehicle and ADAS applications called Mark IV. It features a robust, narrow-beam, analog beamformer, orthogonal modulation backend for secure and interference-resistant operation, point cloud data output, and multi-dimensional radar cross-section fingerprint software for object classification applications.

Analog Beamforming

Analog Beamforming

General Radar's patented solid state technology generates a low loss, high resolution point cloud. It paints a truer picture than pure digital beamforming, avoiding multipath errors, producing the lowest noise radar possible.

Pulse Compression

Pulse Compression

General Radar's patented Serdes-based processing drastically lowers build costs. Our encryption algorithms prevent benign interference and hacking.

Multi-dimensional Radar Cross Section Capture

Multi-dimensional Radar Cross Section Capture

General Radar's patented Second Sight™ system uses radar cross sections to detect road hazards and useful localization data up to 300m, long before a Human could perceive them.

Analog Beamforming

Analog Beamforming

General Radar's patented solid state technology generates a low loss, high resolution point cloud. It paints a truer picture than pure digital beamforming, avoiding multipath errors, producing the lowest noise radar possible.

Pulse Compression

Pulse Compression

General Radar's patented Serdes-based processing drastically lowers build costs. Our encryption algorithms prevent benign interference and hacking.

Multi-dimensional Radar Cross Section Capture

Multi-dimensional Radar Cross Section Capture

General Radar's patented Second Sight™ system uses radar cross sections to detect road hazards and useful localization data up to 300m, long before a Human could perceive them.

Mark IV Radar Product Sheet

Leadership

Dmitry Turbiner

Founder & CEO


Okie Williams

Co-Founder & VP of Engineering


Cody Daniel

CPO


Sergio Rodriguera, Jr

SVP of Govt


Prof. Boris Murmann

ASIC Architect


Prof. Howard Zebker

Board of Advisors


Tim Harris

Board of Advisors


×

Dmitry Turbiner

Founder & CEO

Dmitry Turbiner is a founder, inventor of multiple foundational technologies and a hardware engineer with a BS in Electrical Engineering from MIT and an MS from Stanford University. He dropped out of Stanford in 2016 to found General Radar to revolutionize AI based radar technology for use in autonomous systems and long range perception. An expert in high speed electronics, RF, computing and sensing devices, Dmitry invented and developed the original prototype, secured over $8M in seed funding from Kleiner Perkins, and some of the most reputable angel investors in the field. Over the last couple years, Dmitry assembled a team of over fifteen extremely talented and broad-skilled engineers and executives from MIT and Stanford. Together, the team has developed four generations of radar and one lidar system and is delivering solutions to a variety of problems in both the commercial and defense space, including the United States Air Force.

Prior to Genrad, Dmitry was a Microwave Engineer at NASA/JPL where he served as the Chief Engineer for the COSMIC-2/FORMOSAT-7 Mission’s Radio Occultation Antenna Array. Currently, twelve of Dmitry’s Antennas are orbiting on a constellation of six LEO satellites, launched by a SpaceX Falcon Heavy from LC-39A at Kennedy Space Center. Dmitry also holds two issued patents in the field of Antenna design and three patents pending in Radar, as well as a groundbreaking invention of a Petascale chip in partnership with Professor Danny Bankman at Carnegie Mellon University.

Dmitry is passionate about solving complex, mission critical engineering problems at cost and scale.

×

Okie Williams

Co-Founder & VP of Engineering

Okie Williams joined Dmitry as Co-founder and Director of Engineering of General Radar in 2016. He leads General Radar's engineering team, from design and manufacturing to software development.

Prior to General Radar, Okie worked at Apple, Analog Devices, and a handful of hardware start-ups around Cambridge, MA as both a co-founder and an engineer. Okie holds patents in multiple areas, from sensor data processing algorithms for mobile devices, augmented reality gaming, technology related to micro pick-and-place robots, and radar innovations regarding work at General Radar.

Okie studied EECS as an undergraduate at MIT after which he started a company building custom machine learning chips for robotics applications.

×

Cody Daniel

CPO

Tools define humanity’s domain and unlock the future, and Cody unifies design and discipline to implement these modern instruments. With experience founding and advising multiple instrument and technology based startups he demonstrates success in architecting and commercializing complex, multi-domain technology enterprises into relevant market positions.

Cody’s roots lie in traditional machine design, learning classic machining in his father’s shop and studying precision machine design and systems at MIT. Previously he founded 3Scan, a company that synthesized high bandwidth imaging and high speed automation to redefine pathology methods. This company successfully exited in an acquisition by Strateos, a leader in lab automation and drug discovery workflows.

Notable accolades include a recognition in 2018 by Forbes 30 Under 30 for his work with 3Scan as well as a Guinness World Record in 2011 for manufacture of the World’s Largest Clock. Further involvement with the local arts include helping start Airpusher, an Oakland-based Arts and Production Group that hosts multiple large yearly fundraisers and galleries and has been invited to multiple local city-sponsored events.

In personal life, Cody seeks to learn by learning, and has pursued multiple long educational hobbies. This includes becoming a multi-rated pilot, a bluegrass banjo player, a restorer of Victorian Architecture, a furniture-builder, and a photographer. All in, these endeavors capture an art of “mind and hand” brought to every tool crafted and employed.

×

Sergio Rodriguera, Jr

SVP of Govt

Sergio joined General Radar in 2018 and brings considerable Government and Military experience to the team from his time on active duty as a Naval Officer conducting two overseas deployments and as a Reservist at the Pentagon and deploying to Afghanistan in 2009 and assignment with the Joint Chiefs of Staff supporting the Director of Intelligence and bringing his experience as an Entrepreneur to advise on emerging technologies.

After five years on active duty, he advised the Under Secretary for Terrorism and Financial Intelligence at the Department of Treasury. He was asked to assist the Special Operations/Low-Intensity Conflict office at the Pentagon as a Defense Fellow before his mobilization to Afghanistan. After returning from his combat deployment, he served as Speechwriter to the House Majority Leader and then as a Professional Staff Member on the Financial Services Committee in the U.S. House of Representatives.

He then helped launch a financial technology startup in 2014 and ran Strategy to better assist small businesses in industrial and manufacturing with access to capital and created initiatives with federal and state governments to improve supply chain finance. In 2018 he launched a technology consulting firm to help clients leverage machine learning and data science and continues to work on the Advisory Board of PraxiData and Fiverity.

His achievements include earning the Defense Meritorious Service Medal, Joint Service Commendation Medal, Afghanistan Campaign Medal, NATO Medal, and Humanitarian Service Medal. He was appointed to the Trade Finance Advisory Council by the Secretary of Commerce and Fraud Working Group by the Federal Reserve Board. He is a graduate of the University of California at Santa Barbara and Naval War College.

×

Prof. Boris Murmann

ASIC Architect

Professor of Electrical Engineering at Stanford University. He joined Stanford in 2004 after completing his Ph.D. degree in electrical engineering at the University of California, Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed low-power and smart-power ASICs in automotive CMOS technology. Since 2004, he has worked as a consultant with numerous Silicon Valley companies. Dr. Murmann’s research interests are in mixed-signal integrated circuit design, with special emphasis on sensor interfaces, data converters and custom circuits for machine learning. In 2008, he was a co-recipient of the Best Student Paper Award at the VLSI Circuits Symposium and a recipient of the Best Invited Paper Award at the IEEE Custom Integrated Circuits Conference (CICC). He received the Agilent Early Career Professor Award in 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits, as well as the Data Converter Subcommittee Chair and the Technical Program Chair of the IEEE International Solid-State Circuits Conference (ISSCC). He is the founding faculty co-director of the Stanford SystemX Alliance and the faculty director of Stanford's System Prototyping Facility (SPF). He is a Fellow of the IEEE.

×

Prof. Howard Zebker

Board of Advisors

Howard’s research group specializes in interferometric radar remote sensing applications and technique development, as applied to studies of the Earth and solar system. Originally a microwave engineer, he built support equipment for the SEASAT satellite synthetic aperture radar and designed airborne radar systems. He later developed imaging radar polarimetry, a technique for measurement of the radar scattering matrix of a surface. He is best known for the development of radar interferometry, leading to spaceborne and airborne sensors capable of measuring topography to meter scale accuracy and surface deformation to mm scale. More recently he has been participating in the NASA Cassini Mission to Saturn, concentrating on analysis of data acquired by the radar/radiometer instrument. He is a Fellow of the AGU, IEEE, and Electromagnetics Academy. He has served on a number of National Academy panels, mostly for the Space Studies Board, plus the Naval Studies Board Advanced Radar Technology Panel. He holds a joint appointment with the Department of Electrical Engineering at Stanford, where he serves as Associate Chair for admissions.

×

Tim Harris

Board of Advisors

Timothy Harris, co-founder and CEO of Swift Navigation, is focused on building a world-class organization that will power the next generation of GPS-enabled autonomous vehicles and robots. A proven leader in the high-accuracy GPS industry, Tim leads teams that are excited to drive innovation and challenge each other to achieve visionary change. Prior to Swift, he worked in supply chain consulting for OR Soft Jaenicke GmbH in Halle, Germany, and in corporate finance for Emerge Digital Group, where he oversaw M&A and strategic partnerships for a digital media holding company. Tim holds a JD degree from Boston University and a BA degree from the University of California at Berkeley.

Dmitry Turbiner

Founder & CEO


×

Dmitry Turbiner

Founder & CEO

Dmitry Turbiner is a founder, inventor of multiple foundational technologies and a hardware engineer with a BS in Electrical Engineering from MIT and an MS from Stanford University. He dropped out of Stanford in 2016 to found General Radar to revolutionize AI based radar technology for use in autonomous systems and long range perception. An expert in high speed electronics, RF, computing and sensing devices, Dmitry invented and developed the original prototype, secured over $8M in seed funding from Kleiner Perkins, and some of the most reputable angel investors in the field. Over the last couple years, Dmitry assembled a team of over fifteen extremely talented and broad-skilled engineers and executives from MIT and Stanford. Together, the team has developed four generations of radar and one lidar system and is delivering solutions to a variety of problems in both the commercial and defense space, including the United States Air Force.

Prior to Genrad, Dmitry was a Microwave Engineer at NASA/JPL where he served as the Chief Engineer for the COSMIC-2/FORMOSAT-7 Mission’s Radio Occultation Antenna Array. Currently, twelve of Dmitry’s Antennas are orbiting on a constellation of six LEO satellites, launched by a SpaceX Falcon Heavy from LC-39A at Kennedy Space Center. Dmitry also holds two issued patents in the field of Antenna design and three patents pending in Radar, as well as a groundbreaking invention of a Petascale chip in partnership with Professor Danny Bankman at Carnegie Mellon University.

Dmitry is passionate about solving complex, mission critical engineering problems at cost and scale.

Okie Williams

Co-Founder & VP of Engineering


×

Okie Williams

Co-Founder & VP of Engineering

Okie Williams joined Dmitry as Co-founder and Director of Engineering of General Radar in 2016. He leads General Radar's engineering team, from design and manufacturing to software development.

Prior to General Radar, Okie worked at Apple, Analog Devices, and a handful of hardware start-ups around Cambridge, MA as both a co-founder and an engineer. Okie holds patents in multiple areas, from sensor data processing algorithms for mobile devices, augmented reality gaming, technology related to micro pick-and-place robots, and radar innovations regarding work at General Radar.

Okie studied EECS as an undergraduate at MIT after which he started a company building custom machine learning chips for robotics applications.

Cody Daniel

CPO


×

Cody Daniel

CPO

Tools define humanity’s domain and unlock the future, and Cody unifies design and discipline to implement these modern instruments. With experience founding and advising multiple instrument and technology based startups he demonstrates success in architecting and commercializing complex, multi-domain technology enterprises into relevant market positions.

Cody’s roots lie in traditional machine design, learning classic machining in his father’s shop and studying precision machine design and systems at MIT. Previously he founded 3Scan, a company that synthesized high bandwidth imaging and high speed automation to redefine pathology methods. This company successfully exited in an acquisition by Strateos, a leader in lab automation and drug discovery workflows.

Notable accolades include a recognition in 2018 by Forbes 30 Under 30 for his work with 3Scan as well as a Guinness World Record in 2011 for manufacture of the World’s Largest Clock. Further involvement with the local arts include helping start Airpusher, an Oakland-based Arts and Production Group that hosts multiple large yearly fundraisers and galleries and has been invited to multiple local city-sponsored events.

In personal life, Cody seeks to learn by learning, and has pursued multiple long educational hobbies. This includes becoming a multi-rated pilot, a bluegrass banjo player, a restorer of Victorian Architecture, a furniture-builder, and a photographer. All in, these endeavors capture an art of “mind and hand” brought to every tool crafted and employed.

Sergio Rodriguera, Jr

SVP of Govt


×

Sergio Rodriguera, Jr

SVP of Govt

Sergio joined General Radar in 2018 and brings considerable Government and Military experience to the team from his time on active duty as a Naval Officer conducting two overseas deployments and as a Reservist at the Pentagon and deploying to Afghanistan in 2009 and assignment with the Joint Chiefs of Staff supporting the Director of Intelligence and bringing his experience as an Entrepreneur to advise on emerging technologies.

After five years on active duty, he advised the Under Secretary for Terrorism and Financial Intelligence at the Department of Treasury. He was asked to assist the Special Operations/Low-Intensity Conflict office at the Pentagon as a Defense Fellow before his mobilization to Afghanistan. After returning from his combat deployment, he served as Speechwriter to the House Majority Leader and then as a Professional Staff Member on the Financial Services Committee in the U.S. House of Representatives.

He then helped launch a financial technology startup in 2014 and ran Strategy to better assist small businesses in industrial and manufacturing with access to capital and created initiatives with federal and state governments to improve supply chain finance. In 2018 he launched a technology consulting firm to help clients leverage machine learning and data science and continues to work on the Advisory Board of PraxiData and Fiverity.

His achievements include earning the Defense Meritorious Service Medal, Joint Service Commendation Medal, Afghanistan Campaign Medal, NATO Medal, and Humanitarian Service Medal. He was appointed to the Trade Finance Advisory Council by the Secretary of Commerce and Fraud Working Group by the Federal Reserve Board. He is a graduate of the University of California at Santa Barbara and Naval War College.

Prof. Boris Murmann

ASIC Architect


×

Prof. Boris Murmann

ASIC Architect

Professor of Electrical Engineering at Stanford University. He joined Stanford in 2004 after completing his Ph.D. degree in electrical engineering at the University of California, Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed low-power and smart-power ASICs in automotive CMOS technology. Since 2004, he has worked as a consultant with numerous Silicon Valley companies. Dr. Murmann’s research interests are in mixed-signal integrated circuit design, with special emphasis on sensor interfaces, data converters and custom circuits for machine learning. In 2008, he was a co-recipient of the Best Student Paper Award at the VLSI Circuits Symposium and a recipient of the Best Invited Paper Award at the IEEE Custom Integrated Circuits Conference (CICC). He received the Agilent Early Career Professor Award in 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits, as well as the Data Converter Subcommittee Chair and the Technical Program Chair of the IEEE International Solid-State Circuits Conference (ISSCC). He is the founding faculty co-director of the Stanford SystemX Alliance and the faculty director of Stanford's System Prototyping Facility (SPF). He is a Fellow of the IEEE.

Prof. Howard Zebker

Board of Advisors


×

Prof. Howard Zebker

Board of Advisors

Howard’s research group specializes in interferometric radar remote sensing applications and technique development, as applied to studies of the Earth and solar system. Originally a microwave engineer, he built support equipment for the SEASAT satellite synthetic aperture radar and designed airborne radar systems. He later developed imaging radar polarimetry, a technique for measurement of the radar scattering matrix of a surface. He is best known for the development of radar interferometry, leading to spaceborne and airborne sensors capable of measuring topography to meter scale accuracy and surface deformation to mm scale. More recently he has been participating in the NASA Cassini Mission to Saturn, concentrating on analysis of data acquired by the radar/radiometer instrument. He is a Fellow of the AGU, IEEE, and Electromagnetics Academy. He has served on a number of National Academy panels, mostly for the Space Studies Board, plus the Naval Studies Board Advanced Radar Technology Panel. He holds a joint appointment with the Department of Electrical Engineering at Stanford, where he serves as Associate Chair for admissions.

Tim Harris

Board of Advisors


×

Tim Harris

Board of Advisors

Timothy Harris, co-founder and CEO of Swift Navigation, is focused on building a world-class organization that will power the next generation of GPS-enabled autonomous vehicles and robots. A proven leader in the high-accuracy GPS industry, Tim leads teams that are excited to drive innovation and challenge each other to achieve visionary change. Prior to Swift, he worked in supply chain consulting for OR Soft Jaenicke GmbH in Halle, Germany, and in corporate finance for Emerge Digital Group, where he oversaw M&A and strategic partnerships for a digital media holding company. Tim holds a JD degree from Boston University and a BA degree from the University of California at Berkeley.

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General Radar Corporation

616 Mountain View Ave

Belmont, CA, 94002

sales@genrad.io

Email

General Radar Corporation