Why the Self-Driving Revolution Hinges on one Enabling...

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Why the Self-Driving Revolution Hinges on one Enabling Technology: LiDAR Markus Prison Director Business Development Europe Quanergy ID: 23328 © 2017 Quanergy Systems, Inc.

Transcript of Why the Self-Driving Revolution Hinges on one Enabling...

Why the Self-Driving Revolution Hinges on one Enabling

Technology: LiDAR

Markus Prison

Director Business Development Europe

Quanergy

ID: 23328

© 2017 Quanergy Systems, Inc.

Who We Are

2© 2017 Quanergy Systems, Inc.

• The leader in LiDAR (laser-based 3D spatial sensor) automation solutions

• Started in 2012 in a Silicon Valley home garage

• Raised around $150m in Series Seed, A, B

• Valuation increased by 10x with each round:

– Pre-seed (Nov. 2012): $1.5m bootstrapping (founder-funded)

– Seed (Nov. 2013): $15m pre-money valuation

– Series A (Nov. 2014): $150m pre-money valuation

– Series B (Nov. 2015): $1.5b pre-money valuation ($1.6bn post)

• Next funding event: IPO

• 170 employees (200 by year end) at 10 locations: Sunnyvale, Detroit, Ottawa, Washington DC, North Carolina, London, Munich, Dubai, Shanghai, Tokyo

Our Position

3© 2017 Quanergy Systems, Inc.

• Quanergy is the leader in advanced sensing innovation• Leadership position is in both hardware and software, enabling full system solutions

Awards & Recognition

New Paradigm in 3D Sensing

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• Disruptive Technologies:

– Solid State 3D LiDAR sensors

– Advanced embedded processors

– Smart Perception AI Software

• Advanced Systems:

– ADAS, Autonomous Vehicles

– Smart Homes, Smart Security

– Robots, Drones, 3D-Aware Devices

• Smart Solutions:

– Global daily-updated cm-accurate 3D HD Map

– GPS-free Navigation through SLAM

– Smart IoT

© 2017 Quanergy Systems, Inc.

LiDAR Application Pillars

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Transportation

Industrial

Automation

3D MappingSecurity

400+ Applications

40+ Industries

4 Pillars

Quanergy LiDARApplications

Some LiDAR Applications

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3D Mapping & Navigation ADAS/AV Fleets Robots Drones

Industrial Smart Homes Smart Cities Smart Perimeters 3D-Aware Smart Devices

3D LiDAR sensors enable safety and efficiency in areas unserved due to:(1) COST (2) PERFORMANCE (3) RELIABILITY (4) SIZE (5) WEIGHT (6) POWER

Why LiDAR

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LiDAR is the most accurate perception sensor:

– 3D shape with high resolution up to max range

– Distance with high accuracy

– Orientation

– Intensity

Transmitter

Receiver

Obstacle

Time of Flight

Measurement

LiDAR Radar Video

Sensing Dimensions 3D 1D 2DRange +++ +++

Range Rate ++ +++

Field of View +++ ++ +Width & Height +++ +3D Shape +++

Object Rec @ Long Range +++

Accuracy +++ +Rain, Snow, Dust ++ +++

Fog + +++

Pitch Darkness +++ +++

Bright Sunlight +++ +++

Ambient Light Independence +++ +++

Read Signs & See Color + +++

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Mechanical LiDAR

Expensive, Large, Heavy, High Power,

Low Performance, Low Reliability

Solid State LiDAR (Quanergy S3)

Low Cost, Compact, Lightweight,

Low Power, High Performance,

High Reliability

Solid State vs. Mechanical LiDAR

Headlight-Integrated LiDAR

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• Developed with Koito, largest global maker of automotive headlights, first automotive headlight with built-in LiDAR sensors

• Each headlight incorporates two S3 solid state LiDARs that sense forward and to the side

• The headlight protects the sensors from dust, dirt and water, and lens washers ensure an unobstructed view for the sensors

Product Roadmap

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Gen 1

Mechanical(M8)

Gen 2

Solid State(S3, S3-Qi)

Gen 3

Solid State(S3 ASIC)

MCM: Multi Chip Module

ASIC: Application Specific Integrated Circuit

• 1 Patent Granted

• 10 Patents Pending

• 15 Patent Apps in Prep

IP Portfolio

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• No mechanical moving part – no wear, no misalignment, no recalibration, no eye safety issue, MTBF > 100,000 hours of operation

• Large FOV (120), long range (150m)

• High resolution, high accuracy (at 100m:spot size < 5cm, accuracy < 5mm)

• Software defined beam forming

– Zoom in/zoom out for coarse & fine view

– Random access in entire FOV,no sequential scanning required

– Adjustable window within field of view

– Arbitrary point density within each frame

– Software defined frame rate

S3 Unique Capabilities

S3 Operation Principle

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Transmitter OPA (Optical Phased Array) Photonic IC with far field radiation pattern (laser spot)

OPA

Far Field Spot

S3InsideView

SPAD (Single Photon Avalanche Diode) Array IC

Overlaid far-field patternsfor various steering angles

S3 ICs

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Main S3 ICs based on Si CMOS:

• Transmitter:

➢ OPA (Optical Phased Array) Photonic IC

➢ OPA Control ASIC for beam forming/steering

• Receiver:

➢ SPAD (Single Photon Avalanche Diode) Array IC

➢ ROIC (Read Out IC) with TDC (time-to-digital converter) circuitry

• Processor:

➢ FPGA for processing raw data into point cloud

➢ ARM-based processor for data fusion, perception and object list generation

Autonomous Vehicle Sensors

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LiDAR is the primary sensor. As such, it is used for:

1. Perception (Detection, Classification, Tracking)

2. Mapping & Localization

3. Occupancy Grid Detection, Path Planning & Navigation

15© 2017 Quanergy Systems, Inc.

Quanergy Perception Software

Car Motion Model

CameraSensor Data

Navigation Map

3D -Local Map

3D -GlobalMap

Tracked

Classified

Objects

LiDAR

Data

IMU / GNS

Data

Vehicle

Data

Context

Q-Drive: Automotive Perception

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Automotive Perception

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Q-Guard: People Detection &

Tracking

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Processing Platforms

JETSON TX 1 DRIVE PX

Non Automotive Automotive

3D Point Cloud

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3D Point Cloud

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3D Point Cloud

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3D Point Cloud

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Some Public Partners

Thank You

24© 2017 Quanergy Systems, Inc.

Quanergy Systems, Inc. Proprietary Rights Statement

This document contains proprietary information belonging to Quanergy Systems, Inc.. This document is protected by copyright and

trademark laws and is not to be used, in whole or in part, in any way without the express written consent of Quanergy Systems, Inc.

Quanergy locations:

• Sunnyvale

• Detroit

• Ottawa

• Washington,D.C.

• North Carolina

• London

• Munich

• Dubai

• Shanghai

• Tokyo

Markus Prison+49-177-297 09 71

[email protected]

www.quanergy.com