All Posts by Date or last 15, 30, 90 or 180 days.
also by Lloyd: MacPerformanceGuide.com and WindInMyFace.com
Thank you for purchasing through links and ads on this site.
OWC / MacSales.com...
diglloyd Deal Finder...
Buy other stuff at Amazon.com...
Up to 1527MB/s sustained performance

Self Driving Cars: a Threat to Cyclists Likely to be Fixed Only with Enough Dead Cyclists Pile Up?

See also Pot Smoking Drivers and Me on a Bike.

I previously wrote about the danger to cyclists from self driving cars. Since then, the news hs shown us that self driving cars can plow right into people without even braking. Billions of dollars being behind the push for self-driving cars, I don’t expect regulators to keep us safe and cyclists least of all, cyclists being shown to be by far the most difficult challenge for self driving cars.

Regulators always make make more regulations begetting more regulations, few of which make us safer or prevent anything, serving mainly as huge financial boat anchors and jobs programs for bureaucrats. Better to have major legal penalties as in “3 at-fault deaths and the corporate death penalty is invoked” would be far better than 100,000 pages of money and time wasting regulations.

IEEE Spectrum discusses how self-driving robotic cars pose a risk to bicyclists.

Robotic cars are great at monitoring other cars, and they’re getting better at noticing pedestrians, squirrels, and birds. The main challenge, though, is posed by the lightest, quietest, swerviest vehicles on the road.

Bicycles are probably the most difficult detection problem that autonomous vehicle systems face,” says UC Berkeley research engineer Steven Shladover.

Nuno Vasconcelos, a visual computing expert at the University of California, San Diego, says bikes pose a complex detection problem because they are relatively small, fast and heterogenous. “A car is basically a big block of stuff. A bicycle has much less mass and also there can be more variation in appearance — there are more shapes and colors and people hang stuff on them.”

... However, when it comes to spotting and orienting bikes and bicyclists, performance drops significantly. Deep3DBox is among the best, yet it spots only 74 percent of bikes in the benchmarking test. And though it can orient over 88 percent of the cars in the test images, it scores just 59 percent for the bikes.

Better hope your’re not in that 41% of cyclists that can’t be properly detected, by the best system. In what irresponsible world would a 1% failure to properly detect be tolerable? It’s OK to say “oops” for 1 in 100 humans on the road? But we’re talking 41 times worse than that.

Why should convenience and/or profit-at-any-cost motive become a risk to my life? The death penalty by majority convenience?

On the other hand, at some point self-driving cars might be safer for cyclists, and then the losers of the world can smoke that joint on the way to collecting their free food and healthcare and what-not. I welcome one that won’t pass me on double yellow blind turns, for starters. But I also wonder just how much room such a car will be programmed to have vs the cyclist? The minimum required by law?

B&H Deal ZoneDeals by Brand/Category/Savings
Deals expire in 4 hours unless noted. Certain deals may last longer.
$2197 SAVE $900 = 29.0% Nikon D750 DSLR with 24-120mm in Cameras: DSLR

diglloyd.com | Terms of Use | PRIVACY POLICY
Contact | About Lloyd Chambers | Consulting | Photo Tours
Mailing Lists | RSS Feeds | Twitter
Copyright © 2008-2017 diglloyd Inc, all rights reserved.
Display info: __RETINA_INFO_STATUS__