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www.velodynelidar.comThe leader in 3D LiDAR technology.
The State ofSolid-State 3D LiDARAnd its effects on Power ConsumptionApril 2019
www.velodynelidar.com
Introduction
• Founded in 1983 on $200K capital
• Origins in novel servo-driven subwoofers
• 3D LiDAR sensors invented in 2005
• $500,000,000 – 30,000 units shipped
• Legacy Production in Morgan Hill, CA.
• MegaFactory in San Jose, CA.
• Co-manufacturers Nikon & Veoneer(Autoliv)
• 600 Full-time Employees
www.velodynelidar.com3
Security
MilitaryTransport
MarineNavigation
Virtual Reality
Mapping in 3D
Navigation and Car Safety
NavigationHeavy
MachineryUAV
HDL-32 DesignIntroduced 2011
- 32 lasers over a 40 degree horizontal FoV.
- Close to 5,000 components.
- 20+ hrs. to hand manufacture and calibrate.
HDL-32 Design
- Roughly 25x12x3mm LxWxH- Over 50 Capacitors, Inverters, Rectifiers, Resistors, etc. on each PCB.- Over 100 for each laser/detector pair. (AKA – Channel or LiDAR Pixel)- Slow manufacturing process to align and calibrate each channel. - Highly specialized and difficult to integrate into different sensor packages.
ASIC Design
Laser + Detector + Optics are pre-aligned, offline, prior to final assembly
Single Stack vs. Array
Emitter Receiver
Solid-State ASIC Design
• Old PCB Technology
• Thousands of parts
– High number of failure modes.
• Relatively slow capacitor recharge time to fire the pulsing laser diode.
• High density electronics emit more heat and EMI/RF interference.
• Limited onboard diagnostics and no run-time environment.
• Design constraints due to size and operability of the laser channels.
• Difficult to Align + Calibrate.
• Solid-State ASIC
• Brings components from 5,000 to closer to 200.
• 10x-100x increase in firing rate for each LiDAR Pixel.
• Allows for higher LiDAR pixel density, smaller form factors.
• Integrated Circuit allows for smart sensing applications.
• Smaller and more integratableLiDAR Pixels can be used in a variety of form factors and new products.
Problems Solutions
Key Power Advantages for Velodyne- 905 nm uses less power compared to 1550nm
- Alpha Puck – 360 degree VLS-128 requires only 60 watts
- Comparable coverage with 1550nm LiDAR requires 4 sensors, 250 watts each
- Velodyne focuses on advanced Optics R&D to enhance photon density
- 3D LiDAR point clouds require considerably less Deep Learning processing power compared to Camera Images
Velarray – Solid-State Sensor
Solid-State, non-rotating sensor further reduces power with the removal of the spinning brushless DC motor.
www.velodynelidar.comThank You!
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