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LiDAR Teach-In OSRAM Licht AG | June 20, 2018 | Munich Light is - PowerPoint PPT Presentation

www.osram.com LiDAR Teach-In OSRAM Licht AG | June 20, 2018 | Munich Light is OSRAM Agenda Introduction Autonomous driving LIDAR technology deep-dive LiDAR@OS: Emitter technologies Outlook OSRAM Licht AG 2 LiDAR Tech


  1. www.osram.com LiDAR Teach-In OSRAM Licht AG | June 20, 2018 | Munich Light is OSRAM

  2. Agenda • Introduction • Autonomous driving • LIDAR technology deep-dive • LiDAR@OS: Emitter technologies • Outlook OSRAM Licht AG 2 LiDAR Tech Teach-In | June 20, 2018

  3. OSRAM has extensive autonomous driving expertise Gesture recognition Adaptive cruise control system (LIDAR) Pre crash sensing (LIDAR) Interior lighting Rain sensor Ambient lighting Rear light LED/Laser head- Headlamp up display (e.g. laser, matrix) 3-D environment Ambient light sensor detection (LIDAR) Driver monitoring Side view and lane detection Daytime running light LED – Visible LED – Non visible OSRAM Licht AG 3 LiDAR Tech Teach-In | June 20, 2018

  4. OS is a long-time partner for lasers in the automotive industry First use of LiDAR since early 2000s Short-range-LiDAR – Cam System OS with pioneer role and a proven track record • LiDAR Laser supplier to automotive industry for over 10 years • over 10 million LiDAR lasers in the field (~ 200 billion km ) without chip failures • zero field failures for 7 million bare dies • more than 20 LiDAR design-ins and -wins with OS lasers Technology USP • Highest Efficiency (30%) More than 10 car OEMs • Best thermal resistance use laser based AEB 1 systems with • First automotive grade pulse laser on the OSRAM ´ s 905nm laser 905 nm pulse Laser, market already today 75 W, 20 ns 1) AEB: Auto emergency breaking OSRAM Licht AG 4 LiDAR Tech Teach-In | June 20, 2018

  5. Agenda • Introduction • Autonomous driving • LIDAR technology deep-dive • LiDAR@OS: Emitter technologies • Outlook OSRAM Licht AG 5 LiDAR Tech Teach-In | June 20, 2018

  6. There are 6 levels of autonomous driving, between no automation (L0) up to full control by system (L5) Humans always monitor driving functions Humans do not always monitor driving functions L0 L1 L2 L3 L4 L5 Driver Only Driving Assistance Partial Automation Conditioned Automation High Automation System Only Eyes on + hands Eyes + hands Eyes + hands off Eyes + hands + Eyes + hands on Role of temporary off temporary off mind off driver Driver only Driver always Driver always Driver needs No driver needs to act in with full control in charge of to be ready to needed specific driving monitoring regain control conditions Role of None Some Driving assis- Perform driving Full control in Full control system automation by tance in specific functions and defined driving electronics and limited recognize limits conditions situations OSRAM Licht AG 6 LiDAR Tech Teach-In | June 20, 2018

  7. All of today‘s potential sensor solutions for ADAS have specific strengths and weaknesses; hence all are needed to guarantee full functionality LIDAR Camera Radar Value propositions of different technologies (selection) Environment Environment Mapping Mapping Surround Camera Color vision and ability to recognise signs view Blind spot Traffic Sign Cross traffic detection Speed detection and ability to function in unfavorable Radar recognition alert weather conditions / darkness Emergengy braking Pedestrian detection LiDAR 3D capability and ability to function in unfavorable weather Environment Collision avoidance Mapping conditions / darkness Environment mapping Rear collision Lane departure warning warning Surround view • The vehicles ability to ‚ see ‘ (= sense its environment) Surround view strongly depends on the environmental conditions, such as Environment Environment day time or weather Mapping Mapping • Full functionality at any environmental condition therefore requires different and redundant sensors • In addition, redundancy is being generated using intelligent algorithms (sensor fusion) OSRAM Licht AG 7 LiDAR Tech Teach-In | June 20, 2018

  8. Only the combination of Camera, Radar and LiDAR will provide the capabilities required for autonomous driving. Detector systems Combination of all Camera Radar LiDAR three systems Inherent technical capabilities Range Resolution / Accuracy 3D capability Detection of speed of objects Read signs and see colors Environmental conditions Immunity to weather (rain / fog / snow) Works in dark Works in very bright light Other Interference effects Price Status today Status today Size • Only the combination of all three systems will provide all technical capabilities needed for autonomous driving • In addition, redundancies are desired to increase accuracy and mitigate risk through potential technical failures OSRAM Licht AG 8 LiDAR Tech Teach-In | June 20, 2018

  9. LiDAR will be required for autonomous driving; 6 or more LiDAR modules for L4/L5 Number of modules needed by automation level Level of automation L2 L3 L4/5 • Co-existence of LIDAR, RADAR and Radar camera sensors in Autonomous Driving (L3 upwards) ≥ 3 ≥ 6 ≥ 10 • LIDAR crucial for long-range detection in AD, no different substitute technology available, specifically for object identification • Six or more LiDAR modules expected Camera for L4/L5 ≥ 8 ≥ 1 2 LiDAR LiDAR will play a key role in autonomous driving ≥ 6 none 1 ≤ 1 (especially L3 upwards) 1) Optional for collision warning, AEB OSRAM Licht AG 9 LiDAR Tech Teach-In | June 20, 2018

  10. Two different approaches to autonomous driving: Mobility providers starting with L5 short term, traditional OEMs evolve from L1 to L5 ADAS 1 Level ILLUSTRATIVE MaaS - Mobility as a Service path (e.g. waymo) Convergence • Two completely different approaches to L5 • Robo cars autonomous driving with different dynamics driven by two distinct groups of players – mobility-as-a-Service providers (MaaS) and traditional car manufacturers • MaaS providers pushing for early introduction of fully autonomous vehicles today in significant numbers L3 • Traditional car manufacturers moving to L3 ; introduction of fully autonomous cars expected for 2024+ • However, in the long run there will likely be a L1-2 convergence of the two approaches 2000 2018 2020 2022 2024 2026 1) Advanced driver assistance systems OSRAM Licht AG 10 LiDAR Tech Teach-In | June 20, 2018 10

  11. The LiDAR (emitter) market will see two waves of growth LiDAR emitter market – total number of laser channels MaaS 1 : ILLUSTRATIVE • Short- and medium-term volume driver with early introduction of L5 cars • Consumer-like business with steep ramps, driven by Tec companies • AM qualification less important • Long-range and short-range scanning LiDAR; Traditional – AEB 2 large field of view, high resolution • Existing LiDAR business since early 2000s • Collision mitigation system • Traditional OEMs Traditional L3-L5: • Short range FLASH LiDAR • Long-term volume driver: Evolution of traditional car mass production from L3 to L5 • Mainly traditional OEMs, quality and AM qualification very important • Long-range scanning or Solid State LiDAR, short range FLASH 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 1) MaaS: Mobility as a Service 2) AEB: Auto emergency breaking OSRAM Licht AG 11 LiDAR Tech Teach-In | June 20, 2018

  12. Agenda • Introduction • Autonomous driving • LIDAR technology deep-dive • LiDAR@OS: Emitter technologies • Outlook OSRAM Licht AG 12 LiDAR Tech Teach-In | June 20, 2018

  13. LiDAR uses reflected light to measure distance to objects; it can be used for short-range up to a distance of ~300m LiDAR (Light Detection and Ranging) – a Time of Flight measurement Detection principle: A very short laser pulse travels from the LiDAR sensor to an object and back. The sensor measures the travelling time of the laser pulse and determines the distance and relative velocity of the object. 100 m distance  0,6 m s OSRAM Licht AG 13 LiDAR Tech Teach-In | June 20, 2018

  14. Multiple module system to dominate – combination of short / mid range and long range LIDARs Depending on L-level, different LiDAR systems are used Lidars can be used for different distances and use cases # SRL 1 # LRL 2 L1, L2 • Stop & Go optional for Short range • Automatic Emergency collision (<20m) Breaking (AEB) warning, AEB • Pre-crash sensing 20m L3 • Lane departure warning Medium range 0-2 optional 0-1 • Blind spot detection (20 to 100m) L4 100m 2-4 SRL for 1 LRL 360 ° sensing to the front • Adaptive cruise control (ACC) Long range • Long Range LiDAR (LRL) for L5 (>100m) autonomous vehicles (L4/L5) 1-2 2-4 SRL for rear LRL for fast on 360 ° sensing coming vehicles OSRAM Licht AG 1) Short range LIDAR 2) Long range LIDAR 14 LiDAR Tech Teach-In | June 20, 2018

  15. A LiDAR system consists of different building blocks LiDAR system overview Key steps for signal acquisition PROCESSING & EMITTER CONTROL • The emitter is triggered by the ASIC (application specific Laser L Data visualization integrated circuit) and sends out or interpretation, e invisible light analysis, filter, n Illuminate the scene localization and • The light is reflected from objects in s in front control signals the field of view and the signal captured by the detector • The signal is then processed by the ASIC 1 DETECTOR ASIC 1 and forwarded to the processing unit L Photo Detector • Here, analysis of the signal takes Process captured e signal and place, potentially taking signals n Capture the feedback time from other sensors (e.g. radar or s reflected photons stamps to emitter camera) into account 1) Application specific integrated circuit OSRAM Licht AG 15 LiDAR Tech Teach-In | June 20, 2018

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