Matt D. Weed
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Lidar Goes Viral (>25M views!)

8/25/2025

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The dust has settled after a controversial YouTube video from Mark Rober, the engineer with more followers than Taylor Swift! All told, I think of this video as a win for the lidar industry.  A very technical product is made relatable and well positioned in the automotive context.  Check it out below and comeback for my thoughts here.

The Luminar lidar equipped vehicle performed flawlessly - an exciting, but expected result. The sensor's data is a deterministic 3D model of the vehicle's surroundings that is uninhibited by lighting or color camouflage. Every collision relevant obstacle is detected and when used by appropriate software, can help a car avoid collisions even with very short notice.

The controversy emerges from how poorly the Tesla vehicle performs, and more specifically, that Mark didn't ensure the vehicle was always operating in it's optimal performance mode ("Full Self Driving" or FSD). Some interesting technical topics emerge from this controversy and the scrutiny of millions of eyes globally.

  1. Why wasn't FSD used?  Mark's team asserts that FSD was not available since the testing was not conducted on a real roadway and the system needs an accessible destination.  This makes sense give my understanding of how it works, but is a shame given how many people dismiss the result because of it.
  2. Why did Autopilot turn off just before hitting the wall? No clear assertions here, just conspiracies on both sides. "Mark turns it off at the last minute to ensure collision" vs "Autopilot disengages itself at the last minute so Tesla doesn't have to report Autopilot collisions."
  3. Why does it matter what mode the car is in? After all we're talking about emergency collision avoidance scenarios! This is my favorite question, because it likely exposes the topic of false-positive acceptance levels.

Looking at testing by many different groups, Tesla cars perform much better in collision avoidance when Autopilot is engaged than when in normal human driving mode.  Better still when FSD is engaged.  The real reason behind this is only known by experts within Tesla, but it seems natural to me that the respective systems have different thresholds of pain associated with triggering phantom safety maneuvers (false-positives).  Normal human driving mode is scrutinized by international standards where minimizing false-positive breaking is important and the effectiveness bar (true-positives) is actually very low.  The pain of collisions to the automaker when in Autopilot and even more so in FSD is considered more problematic and so a higher acceptable occurrence of false-positive maneuvers is taken.

The trade between phantom braking reduction and collision avoidance should improve with continued advances in camera technology (both hardware and software) but as illustrated my Mark Rober, lidar changes the game.
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RE: SPIE  "Crowds, Clouds, and Open Innovation"

1/15/2015

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The difficulty in financing hardware development in high tech sectors is a tragically accepted reality today.  I wrote the linked-to article with my colleague Jason Eichenholz for SPIE Professional Magazine about how new network-enabled tools including crowd-sourcing, cloud-computing, and open innovation are opening up new pathways to funding and executing on disruptive technology development.

Enjoy!
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Technology Transfer Brokers

7/28/2011

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Over 30 years ago the Bayh-Dole Act gave US universities (as well as small businesses & non-profits) the ability to control intellectual property (IP) that results from federal government funded research.  The hope was that with a stake to claim, universities would be more effective in moving technology from the lab to the market than The Fed; and in so doing, impact our society faster.  The act has, indeed, accomplished what it set out to, but as academic institutes, many universities put very little effort or resources into the proactive licensing of their IP.  Generally, Technology Transfer Offices (TTOs) run at near zero-net profit and more importantly have huge portfolios of technology sitting around gathering dust.

Many of these patents offer nothing lucrative and deserve to collect dust.  The patents that sell usually sell themselves, in a sense, leaving the TT world with a hurry up and wait culture.  Two questions present themselves to me now.  First, how can someone go about marketing IP so as to generate more and faster turnover?  Second, is there room in between buyer and seller for a cross-university, cross-industry broker?  To explore these questions, I’ll generalize the types of IP buyers as start-ups, growing firms, and established firms.

Upon initial contemplation it seems logical, though probably not strictly true, that established firms are, game changing tech aside, not too interested in purchasing IP as they would rather generate it themselves.  Whether through funding internal R&D or university research programs, they have the means to end up with a legal stake in the inventions they want from the beginning.  Now, with a target market of growing firms and start-up ventures, two different rolls are needed – IP landscape surveyor and technology broker.

A growing firm is likely to see IP purchasing as a means to either expand their competency or to protect their competitive advantage.  I can then conjecture to say that such a segment would benefit from an intelligent resource with knowledge of the full IP landscape in their focus.  This growing firm would say: “We make microwidgets and wish to maintain control of our niche market as we expand production.”  The surveyor would then monitor the tech landscape for existing and budding IP that could complete or augment their business.  It may therefore be possible to build an actively monitored IP portfolio filled from many member universities and simply cross-reference the industrial membership’s focus areas to facilitate the transfer of IP.

The third segment of IP buyers in this thought experiment is start-ups.  The orchestration of a new-tech start-up requires relationships with many pieces including business incubators, capital funding sources, and IP.  Universities frequently feature partnered TTOs and incubators but this system shelters the start-up from all the IP that exists outside the home institution.  With an extensive IP database, the broker could act as a resource for bringing together the players necessary to build a successful tech star-up.  It also becomes possible for the broker to sow its own seeds by identifying technologies (possibly across universities), gathering people and capital, and launching knock-out ventures while maintaining a stake of ownership.

The primary barrier here is building trust from both membership groups – universities and companies.  Gaining trust from universities is a challenge due to security and their risk-averse nature, but having an established network of buyers at the ready would be undoubtedly persuasive.  Additionally, working on a commission-based system would allow the broker to prove itself to both sides without demanding financial risk from the member organizations.
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    Technology

    Taking new technological capabilities over the "valley of death" is of central importance to the success of our world.  Here are my thoughts on how to effectively transfer technologies and how they impact the world.

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