Best products from r/SelfDrivingCars

We found 23 comments on r/SelfDrivingCars discussing the most recommended products. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 19 products and ranked them based on the amount of positive reactions they received. Here are the top 20.

1. Autonomy: The Quest to Build the Driverless Car—And How It Will Reshape Our World

    Features:
  • ENHANCED RETENTION AND CONTROL: Deploy your flashlight faster and maintain control even when performing critical tasks including weapons deployment, self-defense, rescue, climbing, backpacking, trail running, and maintenance. Designed originally for tactical users, the SwitchBack flashlight ring has become the premier flashlight accessory for military, police, and adventurers worldwide.
  • RELEASABLE FINGER RING: Reliably deploy and index a flashlight from both pockets and pouches, using the SwitchBack’s rigid, but releasable, retention ring. Employ all traditional low-light techniques such as Neck Index, Modified FBI, and Harries. Users can use a natural two-handed shooting grip (SwitchBack Technique), taking advantage of the wide thumb rest with traction features. Positively retain the light when drawing a firearm, reloading, and addressing malfunctions.
  • RUGGED POLYMER POCKET CLIP: Positioning the flashlight for optimal pocket and pouch deployment, the SwitchBack’s durable, non-conductive polymer pocket clip is also MOLLE and PALS compatible. Attach it to duty gear, plate carriers, chest rigs, tactical backpacks, and other law enforcement, search and rescue, paramedic, and military gear. Unlike a metal pocket clip, it won’t scratch your surroundings including doorways, car seats, painted surfaces, and other everyday obstacles.
  • INSTALLS SECURELY ON YOUR LIGHT: The SwitchBack Flashlight Ring mounts between a compatible* flashlight’s tailcap and body, making it secure regardless of impact, moisture, and heat/cold changes. Small crush ribs on the lip help create a custom fit. An aluminum spacer and o-ring come with each SwitchBack, helping with conductivity compatibility and slight size variations. (*See the compatibility table at the top left of this product page to be sure your 1 inch tactical light is compatible.)
  • DESIGNED AND MADE IN THE USA: The SwitchBack Large 2.0 is the next evolution in the innovative Thyrm SwitchBack Flashlight Ring product line, incorporating new features and refinements based on input from our subject matter experts and customers. Tailcaps larger than 1.004 inches in diameter are not compatible with the Thyrm SwitchBack Large 2.0. A larger SwitchBack is available, called the SwitchBack DF. A smaller SwitchBack is available called the SwitchBack Backup S.
Autonomy: The Quest to Build the Driverless Car—And How It Will Reshape Our World
▼ Read Reddit mentions

5. mifold grab-and-go Car Booster Seat, Slate Grey – Compact and Portable Booster for Travel, Carpooling and More – Foldable Child Booster Seat Fits into Glove Box and Backpack

    Features:
  • COMPACT AND NARROW BOOSTER SEAT - the world’s most compact and narrow, backless booster. Designed for kids, aged 4 and up, 40 to 100 lbs, and 40 to 57 inches tall, mifold is more than 10x smaller than a traditional booster, and just as safe
  • PORTABLE BOOSTER SEAT IDEAL FOR TRAVEL – mifold foldable booster fits into a child’s backpack, glove box or parent’s handbag, making it perfect for carpooling, as a travel booster, for ride sharing and much more.
  • KEEPS CHILD SECURE – mifold ensures optimal seatbelt fit. Instead of lifting the child up, the grab-and-go car seat adjusts the adult seatbelt by pulling it down to fit the child safely and securely. Fabric Care Instructions: Surface wash with mild solution of soap and water. No bleach. Wipe with clean water to remove soap. Air dry
  • SAFETY TESTED – This kids booster seat meets or exceeds NHTSA standard FMVSS 213 in the USA.(THIS PRODUCT IS ONLY FOR USE IN THE USA and is not the International version, regulated under ECE R44/04)
  • CONVENIENT– This travel car seat is easy to use and has won many awards, including a Mom’s Choice and Parents’ Picks Awards. It’s a great choice for older kids, grandparents or for fitting three children in a row.
  • The dimensions for the open mifold are 8.4"x9.3"x14.75". The dimensions mifold when it is closed/ folded for the purpose of portability or storage is 2"x10"x5".
mifold grab-and-go Car Booster Seat, Slate Grey – Compact and Portable Booster for Travel, Carpooling and More – Foldable Child Booster Seat Fits into Glove Box and Backpack
▼ Read Reddit mentions

Top comments mentioning products on r/SelfDrivingCars:

u/bartturner · 0 pointsr/SelfDrivingCars

> The self driving car is a creative industry, that depends on creative problem solving within a specific domain.

Not sure your background? But you really do not want to run your software engineering organization like this.

You really want it to be more like a system. You really never want to be dependent on any one person.

You want to put together the processes such that you are not dependent on any single person. There is an awesome book on this.

Well there is a series but if into software engineering I would first read the Phoenix Project and then read the Google SRE book.

https://www.amazon.com/dp/B078Y98RG8/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1

Or read the first one then Phoenix project and then the Google SRE book. They all go together. The first one is called the Goal. That is how I did it. It will change your way of looking at things.

Waymo is applying what R&D done at Google brain and with DeepMind.

Google is where the AI breakthroughs come from and then applied by Waymo. So where AlphaGo and AlphaStar and GANS and capsule networks and word2vec and TF and a zillion other things.

Google shares this research at NerulIPS. As you can see they lead in papers accepted. This is a year old as we do not have the new numbers yet. But as you can see Google is way out in front.

Google's AI Research Dominance Shown via NIPS Papers -

https://medium.com/machine-learning-in-practice/nips-accepted-papers-stats-26f124843aa0

But ZERO from Waymo. As it should be. Waymo is applying the R&D done.

BTW, this is the old and disgraceful name. It has been changed because of leadership from Nvidia and Google. It is now NeurlIPS.

> It doesn't matter that they're furthest ahead at the moment, there is currently no thing under Waymo's roof that is irreplaceable.

It does matter. Because Waymo has to use to get to scale and that is your moat. The self driving aspect will be replicated. You secure your spot by having scale. Scale can't be easily replicated.

It is why I keep harping on the business model of MobilEye is a very weak model. Reason is they are behind the scenes. They do NOT have the customer relationship. It makes it so you can be easily replaced. It gets you weak margins. Low multiples.

Perfect example is MobilEye won Tesla business. Messed up and killed someone. Then was fired and Tesla doing their own. They got nothing out of it. But a blemish on their reputation.

ALL the "breakthroughs" comes from Google including DeepMind. That is how it is supposed to work and is working. Waymo is responsible for applying those "breakthroughs" as you indicated applied science.

But it is done using the model from the Goal, Phoenix Project and applied with the principles from the Google SRE book or some other DevOps book.

Google has done this for a long time better than anyone else. They literally have written the book. It is how they have been able to achieve not a single quarterly decline since day 1 and through the greatest recession in my life time. They are now growing at 20%+ for the last 10 quarters without any end in site and a big part is using these principles.

https://www.statista.com/statistics/267606/quarterly-revenue-of-google/

How everyone today runs their clouds was invented by Google and shared through papers. It was done by creating a new approach. It is why when you wake up in the morning and type Google it always works. If it did not you would think something huge must have happened in the world. That there is much bigger issues than Google not working.

That would never work if Google was dependent on a person. Let me know if this helped. I hope you consider reading the books. Or listen to the books.









u/ruperap · 1 pointr/SelfDrivingCars

If you have been visiting this reddit-forum, you may have read some of my articles and seen videos of autonomous vehicles that I encounter in Silicon Valley. Well, my site has been the result of a book that - two years after the German book came out - is now available in English, with updated and new content.

The Last Driver's License Holder Has Already Been Born is available today, my publisher is McGrawHill. The book covers autonomous, electric, shared driving and connectivity, and most importantly, discusses the ramifications for cities, jobs, access individual mobility and much more. Because I live in the San Francisco Bay Area - a.k.a Silicon Valley - the hotbed of many of those developments, I spoke to many of the companies and experts, which might give you an interesting insight in the whole world of new mobility. The book's available at Amazon and any bookstore!

u/cash_invalidation · 1 pointr/SelfDrivingCars

This is tangentially related, but you might enjoy this book if you haven't read it already.

https://www.amazon.com/Chickenshit-Club-Department-Prosecute-Executives-ebook/dp/B06XBZFQR2

Cheers.

u/PlusItVibrates · 1 pointr/SelfDrivingCars

Foldable car seat. Small enough to fit in a bag or purse. Won't work for infants but should be ok for toddlers. They do have to test car seats before selling them so I assume they're safe (enough). Whether that's correct or not, I don't know.

https://www.amazon.com/mifold-Grab-Booster-Seat-Slate/dp/B01H5VJJTE

u/qurun · 1 pointr/SelfDrivingCars

Nature's review:

> Humanity hovers at a momentous technological crossroads, declares engineer Vivek Wadhwa. 'Exponential' advances seeping into every cranny of life could propel us towards utopia or dystopia — Star Trek or Mad Max, as he puts it. Writing with Alex Salkever, Wadhwa ranges over applications from genome editing and the Internet of Things to artificial intelligence, weighing up their potential for risk and the universality of any benefits. Readers may not all share his enthusiasm for autonomous vehicles, but his pointed analyses of the coming transformations add nuance to the debate.

Here's the Amazon page: https://www.amazon.com/Driver-Driverless-Car-Technology-Choices/dp/1626569711/

The Driver in the Driverless Car: How Our Technology Choices Will Create the Future
by Vivek Wadhwa, Alex Salkever

u/solidh2o · 3 pointsr/SelfDrivingCars

This is probably the closest I've seen:
https://www.amazon.com/Rise-Robots-Technology-Threat-Jobless/dp/0465097537


There's several articles on the topic though, from a few different angles ( with a few links to studies in most of them):

Consumer
http://time.com/money/4797898/self-driving-cars-could-soon-save-the-average-family-at-least-5600-a-year/

https://www.curbed.com/2017/7/7/15935126/google-uber-driverless-car-waymo-autonomous

http://www.abc.net.au/news/2017-09-26/self-driving-cars-could-change-your-life-within-six-years/8987628

https://www.marketwatch.com/story/demand-for-driverless-cars-could-boost-uber-to-2016-09-19

https://www.wired.com/2017/06/impact-of-autonomous-vehicles/

https://www.cnbc.com/2017/05/03/self-driving-cars-will-disrupt-10-industries-commentary.html

http://www.esa.doc.gov/reports/employment-impact-autonomous-vehicles


One thing to keep in mind - there's three transformations happening at the same time. The first is autonomous vehicles, the second is the conversion to electric vehicles, and the last is the "Transportation as a Service" (TaaS) movement. All of these are happening at different speeds in different ways from different companies, but they all add up to a huge difference in societal interaction. TaaS combined with autonomous vehicles will ( In my opinion) be the largest driver for the type of change you're talking about - from no longer needed parking lots to shutting down the network of gas stations, the world of 2050 likely looks nothing like the world of 2010 in this regard. Los Angleles has 30% of it's space devoted to parking lots. If no one owns a car, those spaces can be reclaimed for something more useful.



u/ckirksey3 · 1 pointr/SelfDrivingCars

That sounds awesome! I first learned to code by programming a Scribbler robot (https://www.amazon.com/Parallax-Scribbler-Robot-Red/dp/B001G47BWO) in a college CS class. Observing a physical result from my program helped me learn much more quickly.

u/smokingthesemeats41 · 3 pointsr/SelfDrivingCars

Read Autonomy it’s about the upcoming of the self driving car race from an advisor for Waymo and former head of R&D at GM. Very fun and informative read

u/AnxiousHedgehog2 · 5 pointsr/SelfDrivingCars

In Autonomy [1], the author seems to suggest that companies such as GM do realize there is a lot at stake.

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I do think spending 1B+ for GM is substantial, especially since they may have to continue their spending if R&D takes longer than expected, but I don't think it will destroy them if they have to write it down.

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Tesla explained their business model in their Autonomy Day a few weeks ago. [2, 6] I am not familiar with Mobileye's plan.

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I personally am worried that Tesla will release their software without it being sufficiently tested (and users not appropriately understanding this). I tend to side with the plaintiff in this case (though my knowledge is limited). [3]

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At least one founder thinks there will only be a few successful companies, similar to how there are only a few commercial aircraft manufacturers [4].

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Here are two projections of the economics [5, 6]. I don't remember how I felt about these values.

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[1], https://www.amazon.com/dp/B074SJ1HR1

[2] https://www.youtube.com/watch?v=Ucp0TTmvqOE

[3] https://techcrunch.com/2019/05/01/tesla-sued-in-wrongful-death-lawsuit-that-alleges-autopilot-caused-crash/

[4] https://www.reddit.com/r/SelfDrivingCars/comments/aaiek0/chris_urmson_were_going_to_end_up_with_less_than/

[5] https://ideas.4brad.com/robotaxi-economics

[6] https://ideas.4brad.com/teslas-robotaxi-economics

u/Zulban · 1 pointr/SelfDrivingCars

Innumeracy. When citizens have no sense of statistics, this is what happens. Great book.

u/walky22talky · 1 pointr/SelfDrivingCars

He worked with Larry Burns at GM and also wrote a book with him. That explains why CBB sounds like he knows the Earth Institute of Columbia University - Development of a Sustainable Mobility Business Plan forwards and backwards.

u/freddo631 · 0 pointsr/SelfDrivingCars

Hey, I intend to build one myself. Any idea on what the car needs to have to make use of it? I intend to use this one https://www.amazon.com/Wltoys-A959-2-4Gh-Off-Road-Buggy/dp/B00LY45TY8
I was told it has an ESC for the drive motor and a servo for steering, which I imagine should be enough for me to control it with a Raspberry Pi or an Arduino. I'll get a camera so that it can see, but at the moment I'm checking that the above two components are enough for the project, otherwise I'll look into a different car.

u/WeldAE · 1 pointr/SelfDrivingCars

> seat pictured in the Medium post; not an infant car seat for kids under two.

You are correct. I've seen pictures of the seat before but mistook it for a simple forward facing under two seat. You are correct that this looks like its this Britax model which looks to be both a front facing car seat and a booster seat. So I wonder if this is the only seat and there is no separate booster? This would make sense as I don't know where they would store it.

> The Frontier ClickTight Harness-2-Booster Seat can be used in Harness Mode for children 2 years old and 25 to 90 lbs or in Booster Mode for children 40 to 120 lbs.

u/kakanczu · 1 pointr/SelfDrivingCars

If you haven't slept enough but need to drive, keep some caffeine pills in your car. You can also pull over and get coffee. I'd prefer to skip spending extra for crappy coffee to just get caffeine. Each pill is about 1.5 cups of coffee. If it's a shorter drive, take half. Doesn't make me jittery or anything but I also drink a fair amount of coffee.

u/e4e6 · 1 pointr/SelfDrivingCars

Right, I've described a few in previous threads that I think you were a part of. My thought process is this: an AV has to assess risk constantly as it drives. In an unavoidable crash it has to assign that risk or determine an acceptable level of risk for certain actions. Most times the answer is obvious. In those few cases when it's not or the difference between two action is close, we need something to optimize like injury or damage. It's not just a cost estimate. You wouldn't prefer to hit a helmeted motorcyclist over a helmet-less one even though it's cheaper, because it's kinda messed up. So you have to express human values of fairness and ethics in a way a computer can understand.

This is really difficult because we use a lot of common sense when we discuss ethics, and computers are horrible at common sense. Asimov's stories talk about this a lot.

One school of thought is a type of decision tree so that the logic behind a AV's actions is totally transparent. It will optimize some function like injury, while adhering to certain agreed-upon rules. I'm guessing this is close to what you're envisioning. The problem it's hard to anticipate everything a vehicle may encounter so that it never goes off script and do something dumb. You make a good point though, that compared to a military robot, the roadway is a fairly closed system. Time will tell.

There's another idea to integrate a decision tree (what Wallach and Allen call "top-down" approaches) and machine learning techniques (bottom-up approaches). Machine learning is great because it can learn from watching humans "do" ethics, and can maybe understand that which we are so bad at articulating. It can also handle novel situations, as there's no "script" to follow.

Personally, I think the decision tree approach is the way to go for now, with machine learning for later.