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Automotive LiDAR 2020 invited Opsys to host a vehicle-perception discussion

LiDAR2020 (Sep. 22-24) conference is the only event in the world exclusively focused on automotive LIDAR technologies and applications. The conference's sessions will describe the various approaches to make a LIDAR system, as well as explain via physics and math the reasons to choose one approach over another. Attendees will discuss the publicly disclosed methods from each of the known developers, their strengths and weaknesses, and how they likely they are to scale in manufacturability and cost.


LIDAR has been in use for over 60 years in military, aerospace, robotics, and meteorological fields. Today it is experiencing a flurry of interest due to the expectation that it will be one of the key sensors to enable autonomous driving. With more than $2.1 billion raised to date, more than 85 companies are developing automotive grade LIDAR sensors using their unique approaches.


Opsys will host a session during the conference to discuss the reliability and quality advantages of using a pure solid-state LiDAR instead of mechanical solutions that are known today as MEMS and rotating solutions. Feel free to join us in this intriguing topic. The team is also open to set 1:1 sessions to elaborate on semiconductor LiDAR and present a virtual demo.




Conference Topics

  • Expert reviews and analyses of state-of-the-art LIDAR technologies

  • Business trends, market projections, M&A developments, and startup activity

  • LIDAR data fusion with other types of sensors such as radar and camera

  • Impacts of enabling technologies such as artificial intelligence

  • Notable academic research related to LIDAR for automotive applications

  • LIDAR data processing techniques and algorithms

  • Supply chain trends and challenges, government regulations, and mandates

  • Fabrication, packaging, and system assembly techniques

  • Reliability testing methodologies and techniques

  • Technology transfer, ecosystems and research hubs, company formation

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