CLR LRC 20 2018 18 Stephen Crouch , CTO crouch@blackmoreinc.com - - PowerPoint PPT Presentation

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CLR LRC 20 2018 18 Stephen Crouch , CTO crouch@blackmoreinc.com - - PowerPoint PPT Presentation

Aug 18, 2022 231 likes •511 views

CLR LRC 20 2018 18 Stephen Crouch , CTO crouch@blackmoreinc.com Intro Founded in 2016 Bozeman, MT Initially contract RnD heavy Developed HRS product as a long-range 3D imaging solution Long development cycle

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CLR LRC 20 2018 18

Stephen Crouch , CTO crouch@blackmoreinc.com

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Intro

  • Founded in 2016

‒ Bozeman, MT

  • Initially contract RnD

heavy

  • Developed HRS product

as a long-range 3D imaging solution

‒ Long development cycle ‒ Important experience

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Long Range

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High Resolution

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Fieldable 3D Imager

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Then we asked questions…

  • What if this was “real time”?
  • What if we traded range for point throughput?
  • What needed to change for automotive scenarios?
  • What if we could leverage trends in telecom to shrink the design?

We experimented and we gathered information

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  • Billions invested in autonomous

technology

  • Huge uncertainty for

automotive OEMs

  • Simultaneous price and

performance pressure

  • Hype becoming reality

AD/ADAS Market

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Lidar’s “Moment”

  • Recognized as critical sensor for AD

‒ “Poor” performance limits role to localization ‒ Target performance will increase role

  • Key performance targets

‒ 200m off 10% diffuse reflector ‒ Millions of points/sec ‒ 360o coverage, may use multiple sensors

  • Deployment targets

‒ Automotive qualification ‒ CHEAP (<$1k / vehicle)

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Automakers are asking for hundreds of thousands of lidar units by early 2020s

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Performance Barrier

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Sensitivity Transmit Power Interference Barrier Eyesafety Barrier

  • Point throughput and

range are tough specs for any technology

  • Pulsed, 1550nm systems

are the only direct detect systems that can hit specs

‒ More eye-safe

  • Are pulsed fiber lasers

scalable? Do they meet auto temperature specs?

Direct Detect Lidar Stuck Here Coherent and Geiger-Mode Not OK for Auto!

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Critical Auto Sensor Tech

Chips are the building blocks of sensors, Lidar has to go chip scale

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Radar GPS/IMU Vision

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Coherent Lidar Chips

Photon efficiency hits specs w/ low transmit power Low power allows integration across temperature Photonic integration drops cost Added bonus: Doppler sensitivity Interference rejection properties

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Blackmore Today

  • Building, shipping systems and integrating as we go
  • Grown from 5 to 55 employees
  • Recent Series B fundraise includes:

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Proving the Advantages

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Item Specification

Max Range (10% reflectivity) 200m (10% refl.) >450m range window Point Throughput Modes 300kpts/s standard, up to 1.2Mpts/s Velocity Dynamic Range +/- 100m/s Velocity Resolution 0.25 m/s FOV 40oHx 40oV Wavelength 1550nm Output Power 100mW CW Eyesafety Class 1 (ANSI Z136.1- 2014, IEC 60825-1:2014)

Next generation: 3x HFOV and 4x point throughput

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Mobile Testing

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  • Systems testing on the road for

>18 months

  • Critical internal feedback
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Long Range Performance (waiting at a red light)

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Vehicle Location In-N-Out Burger Sign @ 200m Structure @ 400m Gives autonomous systems plenty

  • f range for smooth braking
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Range Performance

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Height (Altitude) Coloration

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High Speed Performance

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Doppler Not an Issue at Highway Speeds

Height (Altitude) Coloration

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Mapping Coverage

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Doppler supports simple removal of all transient objects in the map – accelerates map production and quality

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Pedestrian Stride in Doppler Field

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Point-by-Point Velocity

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Direct velocity measurement enables segmentation and tracking

  • f moving objects

Velocity Coloration

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Point-by-Point Velocity

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Moving targets in dense urban environments are easily segmented and tracked Velocity Coloration

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Dense Pedestrian Tracks

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Find and track pedestrians with much simpler algorithms

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Working With Partners

  • Coherent lidar has a long history of

“borrowing” telecom components

‒ Extremely mature supply chain

  • Blackmore working with coherent

telecom vendors to customize lidar specific components

‒ Coherent optical comm now mainstream ‒ Vendors hungry for new opportunities ‒ Key differences: linewidth, bandwidth

  • Photonic integration critical to long term

cost reduction

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Investing in Technology

  • Low power, CW coherent

lidar is inherently silicon photonics friendly

  • Working with Sandia

National Labs to develop Silicon photonics solid state scanning technology

  • Currently testing chips

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Conclusions

  • Autonomous driving forcing lidar to “grow up fast”

‒ More lidar systems will be built in 2019 than in history of lidar ‒ Comparisons to telecom boom, digital cameras, automotive radar, etc.

  • Automotive markets require development time and supply chain

redundancy

‒ Leverage existing supply chains where they exist ‒ Invest in technology gaps with partners

Coherent is in the game

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Thank You! crouch@blackmoreinc.com