Build an Autonomous Car with RPi, NAVIO2 and Tensorflow/Keras, Part II: The Software – Unmanned Build

Build and Autonomous Car with RPi, NAVIO2 and Tensorflow/Keras, Part II: The Software

  • In the previous post I’ve outlined the hardware build of a “Robocar”, a simple autonomous car platform using monocular vision and Deep Learning, using a small RC car with few modifications.
  • If you’ve followed the directions in that post, you should be able to customize your RC car with a simple wooden or plastic platform, a Raspberry Pi, a camera and a PWM HAT that can control a motor and a servo.
  • In this post we will be focusing on building a simple software stack on the Raspberry Pi that can control the steering of an autonomous vehicle using a Convolutional Neural Network (CNN).
  • This car build uses the Burro autonomous RC car software, freely available on Github.
  • This is the second post in a series discussing the software aspects of a small scale autonomous vehicle, using vision alone and end-to-end machine learning for control and navigation.

In the previous post I’ve outlined the hardware build of a “Robocar”, a simple autonomous car platform using monocular vision and Deep Learning, using a small RC car with few modifications. The post focused exclusively on the hardware. If you’ve followed the directions in that post, you should be able to customize your RC car with a simple wooden or plastic platform, a Raspberry Pi, a camera and a PWM HAT1 that can control a motor and a servo. For my build I’ve also added an RC receiver, since my NAVIO2 HAT supports decoding of SBUS and PPM signals out of the box. However this is optional, and there are many ways to control your car, depending on what you have available (WiFi, for instance).
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Autonomous vehicles, drones, and AI will dominate Mobile World Congress 2017

#AutonomousVehicles, #drones, and #AI will dominate #Mobile World Congress 2017  #MWC17

  • While there will be the usual unveiling of select smartphones and tablets, MWC has dramatically increased the presence of drones and autonomous vehicles as it seeks to expand the concept of what we mean by the word “mobile.”
  • In addition, the conference has added multiple sessions on artificial intelligence, as it relates to vehicles and drones, as well as other mobile uses.
  • This year, China’s DJI, the world’s largest drone company, is organizing its first major MWC press conference, tucked between Huawei and Samsung.
  • “The advanced wireless capabilities of 5G … will usher in new use cases necessary to fulfill our vision for increasingly connected and autonomous vehicles,” said Kim Jin-yong, executive vice president of VC Smart Business Unit at LG Electronics, in a statement.
  • In many cases, drones and autonomous vehicles share a common link in terms of their use of artificial intelligence.

If you’re looking for the future of mobile, it may be time to stop staring at the palm of your hand and look instead toward the open roads and sky.
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This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium

Creating software that learns how to learn — This Week in #machinelearning:  #ai

  • Machine Learning is one of the most exciting fields in the world.
  • The week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents!
  • That’s why we created This Week in Machine Learning!
  • Never miss a story from Udacity Inc , when you sign up for Medium.
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

This week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents! Machine Learning is one of the most exciting fields in the…
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AI Podcast: How AI Turns Kiddie Cars Into Fast and Frugal Autonomous Racers

Learn how #AI combined with kiddie cars became the world’s most affordable autonomous race.

  • AI Podcast: How AI Turns Kiddie Cars Into Fast and Frugal Autonomous Racers
  • And if you missed Episode 5 of the AI Podcast , it’s worth a listen: Lynn Richards, head of the Congress for New Urbanism, and Charles Marohn, head of Strong Towns, talk about where AI’s taking cities next.
  • “It’s something that’s only been possible in the last few years,” said Jim Burke, a graphic artist and founder of the Power Racing Series, in a conversation Michael Copeland, host of our AI Podcast. “
  • Experimenting is what the Power Racing Series is all about.
  • To get the AI Podcast delivered to your iPhone or Android, subscribe via iTunes or Google Play Music .

Take brains, a few hundred bones and a pink Barbie jeep. What have you got? Fast, furious, frugal autonomous vehicles powered with AI.
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Notable Fundraising Highlights of Machine Learning Startups in 2016

Notable Fundraising Highlights of #MachineLearning Startups in 2016

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  • 2016 has been a prolific year for Machine Learning/AI companies in all fronts.
  • In the post I have tried to capture some notable funding rounds and acquisitions of Machine Learning (ML) startups that took place last year.
  • Deep Learning (DL) companies that can help their clients run more successful marketing campaigns are highly valued.

2016 has been a prolific year for Machine Learning/AI companies in all fronts. In this post I have tried to capture some notable funding rounds and acquisition…
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Machine Learning to Soar in IoT as DDoS Attacks Top 10 Million

#Deloitte : #ML to Soar in #IoT as DDoS Attacks Top10 Mio. #AI #cybersecurity .@DeepLearn007

  • Infosecurity Magazine Home ” News ” Deloitte: Machine Learning to Soar in IoT as DDoS Attacks Top 10 Million
  • There are expected to be on average one Tbps-scale attack per month, and over 10 million attacks in total.
  • Deloitte expects cyberattacks to enter the terabit era, with DDoS attacks becoming larger in scale, harder to mitigate and more frequent.
  • Machine learning on-the-go will not just be limited to smartphones.
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Deloitte expects cyberattacks to enter the terabit era, with DDoS attacks becoming larger in scale, harder to mitigate and more frequent.
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McKinsey’s 2016 Analytics Study Defines The Future Of Machine Learning

The future of machine learning — @LouisColumbus #AI #CIO #CMO

  • Filed under: enosix , enosix integration , enosiX Salesforce integration , enosix SAP integration , Louis Columbus’ blog , Machine learning , McKinsey 2016 Study Tagged: Analytics , enosix , enosix integration , enosiX Salesforce integration , enosix SAP integration , Machine learning , McKinsey Analytics , McKinsey Global Institute’ , McKinsey’s 2016 Analytics Study
  • McKinsey identified 120 potential use cases of machine learning in 12 industries and surveyed more than 600 industry experts on their potential impact.
  • The study underscores how critical integration is for gaining greater value from data and analytics.
  • Design-to-value, supply chain management and after-sales support are three areas where analytics are making a financial contribution in manufacturing.
  • Location-based services and U.S. retail are showing the greatest progress capturing value from data and analytics .

These and many other insights are from the McKinsey Global Institute’s study The Age of Analytics: Competing In A Data-Driven World published in collaboration with McKinsey Analytics this month. You can get a copy of the Executive Summary here (28 pp., free, no opt-in, PDF) and the full report (136 pp., free, no opt-in, PDF) here. Five years ago the McKinsey Global Institute (MGI) released Big Data: The Next Frontier For Innovation, Competition, and Productivity (156 pp., free no opt-in, PDF), and in the years since McKinsey sees data science adoption and value accelerate, specifically in the areas of machine learning and deep learning. The study underscores how critical integration is for gaining greater value from data and analytics.
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IBM and BMW Are Using the Watson A.I. to Give Smart Cars a Personality

IBM and BMW Are Using the Watson #AI to Give Smart Cars More Personality

  • Watson’s machine learning capabilities offer new opportunities for vehicles to learn about the preferences, needs, and driving habits of their drivers over time,” the company says, which means it’ll also help with “customizing the driving experience and improving levels of comfort and safety.”
  • All of the improvements would help make cars more enjoyable while the world waits for autonomous vehicles to debut.
  • IBM partnered with Pfizer in December to find new cancer drugs because Watson can read more than any medical researcher – it can almost handle questions about a car’s machinery.
  • The companies said they want to explore the potential of Watson “personalizing the driving experience and creating more intuitive driver support systems for cars of the future.”
  • Combine that with the technological “brain” for trivia that let Watson beat humans at Jeopardy!

IBM and BMW are using the famous Watson A.I. to develop smart cars that can interact with their drivers much more, KITT from ‘Nightrider.
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World to Meet Human Intelligence Soon: AI and Humans to Be Integrated in New Tech : News : Nature World News

#AI and Humans to Be Integrated in New Tech

#fintech #payments #neuroscience #Robotics

  • A startup believes that the next step in the course of evolution is the merger of humans and artificial intelligence to make HI or human intelligence.
  • World to Meet Human Intelligence Soon: AI and Humans to Be Integrated in New Tech
  • Bryan Johnson of Kernel believes that HI may be the next step for human progress.
  • 5 Logo Goes On U.S. Laboratory Destiny NASA Spinoff 2017 — Are Some Space Tech Used on Earth Today
  • AI Turns to Reddit for Communication; Elon Musk’s OpenAI to Learn Via Reddit

A startup believes that the next step in the course of evolution is the merger of humans and artificial intelligence to make HI or human intelligence.
Continue reading “World to Meet Human Intelligence Soon: AI and Humans to Be Integrated in New Tech : News : Nature World News”

Driverless bus hits the streets in Finland, could revolutionize public transportation

Driverless buses are NOW roaming streets of Helsinki.

Test until mid-September. 
#2MA #AI

  • Driverless bus hits the streets in Finland, could revolutionize public transportation
  • The robotic buses, which only move about six miles per hour, could be used in addition to existing public transportation options in the future, creators of the technology said.
  • Nevada was the first state to authorize the operation of autonomous vehicles in 2011.
  • Driverless bus manufacturer EasyMile is currently piloting a driverless bus on the streets of Helsinki, Finland-making it one of the world’s first autonomous bus tests in an urban environment.
  • Google’s driverless cars may use human flypaper in road accidents (ZDNet)

Read the full article, click here.


@erikbryn: “Driverless buses are NOW roaming streets of Helsinki.

Test until mid-September.
#2MA #AI”


One of the world’s first driverless bus test runs is operating in the Hernesaari district of Helsinki, with the goal of supplementing public transportation.


Driverless bus hits the streets in Finland, could revolutionize public transportation