Facebook Event-Based Ride-Sharing

News just surfaced of a Facebook transportation patent:

“The new feature Facebook appears ready to launch asks its users attending an event to select whether or not they are driving.

If the Facebooker is driving, they can then select their number of passengers, set of potential passengers and departure location, along with a radius of where they would be willing to pick up other passengers.

The social media network will identify potential matches of people needing rides to the same event. If the user selects that he or she needs a ride to the event, Facebook will list friends with seats available.”

To be clear, this is a patent, not an actual, existing feature. Yet.

Originally published at www.davidincalifornia.com on February 1, 2016.

Vertical Integration

Fortune runs with a story about Lyft and Uber and the merits and demerits of vertical integration:

“From a purely technical perspective, it’s unlikely that Uber’s in-house mapping efforts will be able to compete with the massive scale of Waze’s crowdsourced information. Waze is something like the Wikipedia of mapping with, as of last year, almost 300,000 editors worldwide contributing regular updates — all for free.”

Of course this is to some extent a matter of options. Uber has raised enough money to at least attempt building its own features, whereas Lyft is more cash-constrained.

But, as Malcolm Gladwell will tell you, sometimes being smaller comes with surprising advantages.

Originally published at www.davidincalifornia.com on February 1, 2016.

GM’s Autonomous Vehicle Team

GM is putting together a team to focus on autonomous vehicles.

“Doug Parks, GM’s vice president for global product programs, will become vice president for autonomous technology and vehicle execution, reporting to Mark Reuss, head of global product development. Parks will oversee efforts to develop new electrical and battery systems and software for autonomous and electric vehicles, GM said in a statement. The appointments will be effective Feb. 1.”

All that according to Times of India.

That description sounds mostly like a re-org, which is less inspiring than we might hope. My experience is that re-orgs are rarely helpful.

What would be great is to see GM pour more resources into an off-site autonomous vehicle center, or bring in some key hires, or build up a team with new hires, even if it takes cuts to other parts of the business.

Originally published at www.davidincalifornia.com on February 1, 2016.

Google’s Self-Driving Car Facility

Over at Backchannel, Steven Levy has an amazing behind-the-scenes look at Google’s self-driving car test facility on the grounds of the former Castle Air Force Base in Merced County, California.

“Mission control at Castle is a double-wide trailer that seems more like the op center at a construction site than a dispatch center for the future. There are desks, a ratty sofa, and instead of the high-end espresso maker commonly found at the company’s facilities, a coffeemaker that Joe DiMaggio would recognize. The most Googley objects are what look like military-grade water ordnance; they are actually Bug-a-Salt rifles that shoot pellets at the swarms of insects that are ubiquitous during the Central Valley summer.”

The piece is titled “License to (Not) Drive”. Read the whole thing.

Originally published at www.davidincalifornia.com on January 26, 2016.

The Language of Autonomous Driver Assistance Systems

As I’ve done more work on autonomous driver assistance system (ADAS) components — on topics such as computer vision, localization, and controls — one topic that keeps popping up is the prevalence of C++ and, to a lesser extent, Python.

This is in some ways a stop backward, because I have worked in Ruby for the last five years, and Ruby is a powerful and concise language, especially with the Rails libraries layered on top of it.

Getting something done in C++ is considerably more verbose and open to bugs.

That said, C++ is fast. All of the beauty of Ruby comes at the cost of processes running behind the scenes to facilitate the beauty of the code. Garbage collectors, dynamic memory allocation, code compilation — all of those things take time.

In a car, time is crucial, far more so than on the web. So C++ it is.

Originally published at www.davidincalifornia.com on January 25, 2016.

Death-Proof Cars

According to CNN, Volvo pledges that by 2020, all of their new cars and SUVs will be death-proof.

Volvo has made a shocking pledge: By 2020, no one will be killed or seriously injured in a new Volvo car or SUV.

I also didn’t know this:

Fatality-free vehicles are not unprecedented. In fact, there already are some, and they’re not just Volvos. According to data from the Insurance Institute for Highway Safety, there are nine vehicle models — including the Volvo XC90 — in which no one in the United States died in the four years from 2009 to 2012, the most recent period for which data is available.

However, note that drivers will still retain the ability to commit vehicular suicide.

CNN lists the principal components of the system as:

  1. Adaptive Cruise Control
  2. Auto Lane-Keeping Assistance
  3. Collision Avoidance
  4. Pedestrian Detection
  5. Large Animal Detection

Originally published at www.davidincalifornia.com on January 24, 2016.

OTA Software Upgrades

One of the best things about owning a Tesla, at least if Twitter is to be believed, is the fact that every vehicle gets over-the-air software upgrades.

At first glance, this seems almost trivial. Everyone who owns a smartphone gets OTA upgrades, and they are as much a pain as a pleasure. Most of the time, it’s not even clear what benefit the upgrade delivers, so I usually chalk it up to some sort of invisible security patch.

But Tesla has been rolling out new features at such a clip, particularly its autonomous driving features, that users marvel that “it’s like I got a new car overnight”.

I’m not sure how long this can last — after all, we’ve already seen with mobile phones that the novelty plateaus eventually — but for the moment it seems like an exciting part of owning a Tesla, or any vehicle receiving periodic OTA upgrades.

Originally published at www.davidincalifornia.com on January 21, 2016.

Self-Driving Cars for Older Citizens

One of the key selling points for self-driving cars is the ability to transport people who cannot drive themselves. Largely, this group is comprised of the very young and the very old.

The very old, in particular, are a huge market for some of the wealthier nations on earth. Japan, for instance.

A big question is how readily the elderly will take to self-driving cars.

I think they will take to it like crazy. While old people have a reputation as technology late adopters, I think this is more a question of motivation than aptitude.

A lot of technology just isn’t useful enough to justify spending time and effort on, for an eighty year-old.

But when a technology brings a lot of utility (email, for instance), I have seen the elderly pick it right up.

Originally published at www.davidincalifornia.com on January 21, 2016.