Tradeshows & Conferences

PhotonicsNXT Fall Summit 2021

Yole Développement invites you to join us at PhotonicsNXT Fall Summit 2021.

A free, online educational event focused on scientific advances, photonics R&D, application solutions, and more. Learn about advances in these key areas:

  • Optical Design & Simulation Software
  • 3D OCT for Industry
  • Micro 3D Printing Optical Metrology
  • Spectroscopy
  • Optical Coatings
  • Pump Lasers 2D Mirror Applications
  • Precision Micromachining

Yole Développement will participate in the following:

” How LiDAR is becoming a key sensor for automated driving “

Pierrick Boulay, Market & Technology Analyst – Solid State Lightning & Lightning Systems at Yole Développement


In 2020, the LiDAR in Advanced Driver Assistance Systems (ADAS) represented 1.5% of the automotive and industrial LiDAR market. The ADAS proportion is expected to reach 41% in 2026 with a 111% CAGR in this period, reaching a market size of $2.3B. Since the invention of 3D real-time LiDAR, more than 80 LiDAR companies have been established. Many of them have bet on new technologies. This has resulted in high technological diversity in the LiDAR landscape. Despite this great diversity, the oldest technologies are still representing most design wins for the automotive industry. Considering the LiDAR wavelength, 1550 nm is less dangerous to the human eye than 905 nm and promises integration through the silicon platform. However, 905 nm represents 65% of design wins for the automotive industry. For the imaging method, traditional mechanical scanning represents 69% of design wins. MEMS micromirror and Flash LiDAR are also making their way into automotive, but their proportion is smaller. Concerning the ranging method, direct Time-of-Flight (dToF) represent 100% of design wins. Frequency Modulated Continuous Wave (FMCW), which allows better integration, sensitivity, and instant radial velocity, is not expected before 2025.
This presentation will give a complete analysis of LiDAR technologies used for ranging and imaging, automotive integration, software challenges, and components used for light emission and photodetection. It will give an overview of the LiDAR ecosystem and a deeper view on automotive integration.

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