Computer Vision & LA Auto Show Debrief

This month, Autotech Council members opens their discussion on Computer Vision to the public. Join Autotech Council members, OEMs, automotive suppliers, mobility startups and VCs to discover the current state of innovation in Computer Vision - a field that touches on optics, sensors, machine learning, and AI.

While humans have had millions of years to evolve our visual cortex to where we can instantly recognize shapes and objects, direction, and intent - even when occluded or in shade, the complexity of this task is huge. But Computer Vision is being tackled by suppliers and startups alike because it is essential to continuing to advance Self-Driving Vehicles as safe replacements for human drivers.

For the automotive space, Computer Vision often combines visual images from cameras with a 3D point cloud from a LIDAR, RADAR, or some other echolocation technology. By combining the 3D point cloud, the ability of machines to perform edge extraction, size estimation, and object recognition increases significantly, as well as the obvious benefits of ranging and velocity detection. But the addition of LIDAR, in particular, raises the cost curve substantially, so the ability to use Computer Vision, solely, to create an accurate 3D model of the world around the car could substantially lower the cost of equipping a vehicle for autonomous driving. (This is the Elon Musk approach.)

A proper self-driving car needs to copy a few specific things we humans do. It needs to:

  • Have some knowledge of where it is and where it wants to go, which for the car is represented by a 3D model of the world like a semantic map in HD.
  • It needs to know where it is in the world, and in relationship to that 3D HD point map.
  • It needs to manage the other road users, and avoid hazards. For this, it needs a 3D Perceptual System which detects, identifies, and vector-maps other objects around it.

Once it has achieved these things, the self-driving software can act on this understanding of the physical world to act and react and safely maneuver the vehicle to its destination.

The latter two bullets rely heavily on the field of Computer Vision, to make sense of the world around the vehicle. Elements of that job include:

  • Specialized cameras or other sensors
  • Scene reconstruction
  • Event detection
  • Edge extraction
  • Object recognition
  • Object Classification
  • 3D pose estimation
  • 3D point cloud, and SLAM
  • Intent or motion estimation
  • Machine learning
  • Training and fleet learning

Autotech Council’s meeting on Computer Vision will look at the latest advances of various technologies that comprise Computer Vision, and startups and vendors with specific solutions that are applicable to autonomous cars, and the automotive industry.

About our Public Meetings: The Autotech Council occasionally opens its doors to non-members to discover a segment of the auto industry that is attracting large amounts of innovation and investment. Public meetings are ½-day agendas that highlight a few vendors who are leading the segment and introduce dozens of undiscovered companies. Expect plenty of time for networking, business discussions, and an interactive format that promotes relationships between member and non-member companies.

Fees and Options: This meeting is free for Autotech Council members, open to non-members for a $200 fee. Rapid Fire pitches and demo tables, described below, are both available during this meeting to introduce new products or services in the sensors segment. Registration includes free access to Sensors Expo & Conference Expo Hall.

Members-Only Session: After lunch, members stay to debrief the 2018 LA Auto Show Debrief. These debrief sessions mix news with opinions for those members who did not attend and members actively contribute their insights to recent trends.

Call For Speakers and Rapid Fires
Up to 10 5-minute technology pitches may be included in this agenda. Startups are selected from companies who Apply to Present using the online application form. Preference is given to members, sponsors and companies with technologies that have validation, traction and industry support.

Demo Tables Available
Demo tables are available to showcase technology, products or services in this market segment during the breaks. Demo tables allow all attendees an in-person introduction to new technologies. Tables are 30" round cocktail tables, with black linen, power and Wi-Fi when available and are $50 to members, or $500 to non-members.

Interested in Sponsoring?
Want your technology to reach innovation scouts from 50 of the most cutting edge companies in the Automotive ecosystem? Companies interested in sponsoring this meeting or future meetings can read about the benefits of sponsorship.



  • When

  • Friday, December 14, 2018
    8:30 AM - 1:30 PM

  • Where

  • SRI International
    333 Ravenswood Ave, Auditorium
    Menlo Park, CA 94025

About the Autotech Council

Visionary companies in the auto industry use the Autotech Council to discover innovation, build partnerships, exchange insight, and grow their professional networks. The result is earlier discovery of new innovation, better understanding of technology's potential impact and timing, access to more entrepreneurs and investors, and in the big picture - getting better cars to market faster.

Autotech Council members meet monthly to hear from start ups and educate themselves on new technologies and market trends. For more details, visit

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