Fast 3D imagers for movement detection

Transcription

1 Fast 3D imagers for movement detection Automotive safety Autonomous vehicles Claude FLORIN CEO Lucio CARRARA CTO Grenoble, R & D p a r t n e r s

2 Automotive 3D sensing challenges Pedestrian : 13% of all casualties ; Cyclists : 11% of all casualties Source : Frost&Sullivan ; EuroNCAP

3 Engaged in 1.3 B$ 3D vision market ToF cameras 30% Growth M$ (2020 *) Sensors ToF sensors 600M$ (2020) OEMs Tier 1 s Processors & Systems Software Sensors Automotive M$ > 20 engagements and prospects Sources: IC Insight, Yole, Markets and markets, Allied Market Research, Frost&Sullivan, *) 2016 > 100M$ 3

4 State of art automotive sensor fusion Fastree3D contributions LIDAR (3D) $ Solid state, No scanning, <250$ Video / stereo (2D) Camera $ 2D / 3D fusion High resolution ECU + software 50%-200% x sensor cost Pre-processing on-chip Cost $ Speed Radar (1D) $ short range, 125$-150$ long range False positive! Source : Boston Consulting Group, 2015 (adapted), image Google (sen sors adapted) 4

5 An ideal automotive 3D sensor : Solid state flash laser imaging and ranging (LIDAR) Price performance : 30m ± 1cm day/night range / 250 z 12 z 11 z mn z 13 Single photon detector array pixels for 2D sensor fusion < 10 M single photon detections /s < 1 cm resolution (<50ps) Illumination Optimized power < 5mW Short pulses 2MHz) Time of flight System on Chip Processing Adaptive illumination / range Adverse light and noise rejection 5

6 Direct ToF operational advantages 2D imaging Image / video processing Stereoscopy Direct ToF Flash ΔT 50ps 1/1000 sec detection Flash 2ns@1Mz Single photon detection Statistical noise removal Unambiguous σ Z 1cm 3D active illumination Indirect ToF (phase measure) Continuous illumination Ф d reflected Direct ToF Scanning 6

7 From innovative CMOS sensor to ADAS Key milestones pixels SPAD detector, Qualification (2016) 2 foundries Detection 50ps, 300 fps Range < 4mW 9 patents 2 Awards, 2 grants µm Development kit (2017) (2017) System on Chip (2018) (2018) 2016 Array 160 x 2 SPAD pixels Detection 40ps, 1000 fps VCSEL array illumination 2 MHz Range > 2mW FPGA controller QQVGA, pixels Programmable controller for optimization Digital processor (ToF/intensity/speed) Development camera 5 mm 1cm 7

8 Experienced team in 3D vision Business R&D Experience Claude Florin Managing Director 3 startups, HP, MSc. EPFL, HBS, IMD, MIT Lucio Carrara Engineering Manager ESPROS, EPFL MSc. EPFL Edoardo Charbon CSO EPFL, TU-Delft, Intel, Canesta, Cadence, PhD UCB > 100 million 3D devices 2 FTE 4.5 FTE R&D + 5 academic R&D 2 Advisors Robert Staszewski LEM, P+F, IR micro, Philips, NP -- 2 MSc. ABB, ST-Micro, Marvell, TU-Delft, EPFL 3 MSc., 2 PhD Hiring : 3 IC + 2 software engineers UC Dublin, Texas Instruments >120 patents avier Arreguit Innobridge, CSEM, Caltech. PhD EPFL 8

9 Financing M Series A Current situation Fundraising Past fundraisings Amount Foundation (2013) Seed ( ) Series A-1 (2016) R&D grants ( ) Ownership 2.1 M (>43% founders + employees) +600K (>80% founders &employees) 1.5 M Series A-2 Q ( top-up business angels) Q ( VC lead investor committed ) Use of funds R&D > 6 R&D staff ( FY 2018) Automotive R&D engagement EU ECSEL R&D project (600 K ) PO Sensor roadmap (BSI, software) Exit Plans 2018 : integrated circuit manufacturing 2021 : licensing automotive + robotic cameras Joint R&D (Tier I) Manufacturing 9

10 Fast 3D sensors for better vehicles < fatalities / year Autonomous vehicles Fast 3D vision Performance / Price Laser ranging Image sensor 250 We look for Financing Industry Expertise + employees Joint R&D (Tier I) Manufacturing 10

11 EEPROM Sensor with System-on-Chip (SoC) Laser Driver SPI Laser CTL System Controller I2C I/O CTL Time digital converter 160x60 160x60 Time digital converter Digital Signal Process Platform LNK RFO I/ O QQVGA, parallel pixels with global shutter Control interface (I2C), programmable controller Timing (master/slave operation) DSP (ToF/intensity/speed) and data compression (indicative illustration) Programmable data interface 11