2018 Big Data Expo of Guiyang

2017 Big Data Expo

The 2018 Bid Data Expo of Guiyang is now history. It closed Tuesday after four days of successful events and exhibitions. Details of the event, along with participants and exhibitors can be found at the Big Data Expo website: BIG DATA CENTRAL WEB SITE.

2018 Big Data Expo rocks according to Jack (aka_ John_ S._Porter)

2018 Big Data Expo rocks according to Jack.

There were many similarities to the 2017, but also a surprise. It was beyond even my wildest overactive imagination. I wasn’t shy about my disappointment in the 2017 Expo because it was so lacking in robotics, motion control, and automated vehicles. I consider this to be central to our future as humans . . .  see: 2017 Big Data Expo.
Though I was unsatisfied with the robotics, motion control and automated vehicle coverage in the 2017 Expo, I was MORE THAN SATISFIED with it’s prominence in 2018.  Artificial intelligence (AI) was everywhere in the Pixmoving presentation. The highlights were the coffee robot, the donkey car race, and the driverless car. The coffee robot demonstrated the fine detail, proving how far robotics and AI has come. The donkey car competition showed how difficult it is to drive a car, even in fairly predictable environments and situations.

The robot that serves the coffee was impressive, but it had no eyes. No wives or children moved  the coffee pot, or the cups. Nevertheless, this demonstration was very good. You can tell by the audience reaction. This display got everybody’s attention.

The Donkey Car is a car  that drives itself, but with very limited intelligence. It has a small on-board computer,  some rule based controls, and a camera. The camera helps the car stay between the white lines. It looks like a toy “remote control” car, but there is no (human) controller when the race begins.  All the decisions on direction and speed are made by the on-board computer. It is dumb, like a donkey.

The driverless car was also a big hit. There were so many people that wanted to ride around the circuit that I heard a man complain that he waited two hours to get on the car. The driverless car has a Lidar navigation sensor (on top) which is a newer product for machine vision. It uses lasers to judge objects and distances, many, many lasers to gather active data about the road. This car highlights several of the “drive by wire” products marketed by Pixmotion. Pixmotion is promoting open source coding for Automated Vehicles and has it’s own line of hardware that they are seeking to install, not only on cars, but many kinds of vehicles, from freight moving trucks to coffee serving robots on wheels.

Other Things at the Big Data Conference

The Exhibition Hall was open from the 26th to the 29th and there were also classes and presentations on the 25th. This conference was similar to prior conferences in that special tickets allowing more access were available.  One impressive presentation was about the use of Big Data to expedite the permitting process for businesses. Rather than using staff time and a complex permitting process for each department, more departments are being merged and application forms are being populated by the government’s Big Data database. This eliminates fees and long waiting periods while applications are processed.  If your registration with the government is in order, you get your permit — quickly. This kind of cost cutting and convenience to citizens is a big deal.

The exhibits seemed less expansive than in the past, with a bit of a push from a few vendors expanding presence. Of course Pixmoving was the biggest. Google and Facebook were also well represented, along with many of the other big names. Smart City software, mapping software, and health care were big. Of course virtual reality and the  “whole body” virtual world devices were present as well. Here are some sample photos.

It was fun  talking to vendors with various levels of English. It was fairly simple to stop and talk, especially with people that are working on their English skills. Alex Lau of Sefonsoft was very kind to me .  .  .AlexLau

 

 

 

 

Another (USA) Fatality in Autonomous Vehicle Testing

See Detailed article at this link: Fatal AV Crash details

This Tesla which is modified for autonomous driving has an on-board computer which didn’t recognize and/or react to the obstacle in front of it. The automatic braking system again failed. The proliferation of the “UNconnected” Autonomous Vehicle appears to be creating hazards on public streets, based on two recent USA crashes of AVs. The supercomputer coordinated system advocated on this site seems like the better alternative to the proliferation of weaker, unconnected computer controlled cars.

MICHIGAN AUTOMOTIVE NEWS (modified for web posting)

Elon Musk, federal investigators at odds over fatal Tesla crash investigation

Updated 4:55 AM; Posted 4:02 AM 4/3/2018

In this Friday March 23, 2018 photo provided by KTVU, emergency personnel work a the scene where a Tesla electric SUV crashed into a barrier on U.S. Highway 101 in Mountain View, Calif. The National Transportation Safety Board has sent two Continue reading

Autonomous Vehicles Need Oversight

The Proposal for Autonomous Vehicle testing in the Beizhan bus terminal seems like a safe way to address this technology. Sensors in smart buses can be tested safely with professional drivers in an area where pedestrians and bicycles are prohibited. The US is moving too fast I think. Pedestrian Killed in US by Automated Vehicle. See Guiyang Tech Village .

Guiyang Tech Village

The Autonomous Vehicle (“AV” or Automated Vehicle) technology is the next big thing in technology. The Big Data Valley initiative of Guiyang can jump start the creation and nurturing of a technology Village (Guiyang Tech Village) in Guiyang. The Big Data initiative has already started this process, but there is still a need for focus of the resources being created by the the Big Data initiative. AV technology requires a combination of two of the “Big Three” technology initiatives in the world, Artificial Intelligence (AI) and Robotics (Biotech is the third). China and the USA are similar in that about 2/3 of GDP is consumer driven. Housing is the #1 consumer purchase, and cars are #2.  The market for auto enhancements, such as AV, is massive.

These concepts are developed elsewhere on this site, but the implementation of AI and Robotics in Guiyang can use the AV technology framework. Sensors, machine learning, actuators, and decision making are all required when a car, truck, or bus is driven by a human. The AV research, the testing, and application of that research provides a concrete focus for so many of these advanced research subjects. An AV initiative in Guiyang has the potential of attracting top talent to Guiyang companies and universities.

Technology people can usually choose where they want to live, but the technology village concept multiplies the productivity of individuals. Guiyang already has the quality of life that is attractive to the young techies. See: Guiyang Top City The AV provides a focus for those techies.

The implementation plan is specific. Develop and test AV technology using existing Guiyang buses and drivers:

  1. Automate bus maneuvering and parking in the North Guiyang Train Station (Beizhan Gaotia).
  2. Retrofit existing BRT buses with sensors, actuators, and computers with cloud communication.
  3. Connect the BRT buses to the Guiyang Big Data infrastructure and then begin building and learning.
  4. Retain existing bus drivers to monitor effectiveness of the developing technologies and provide tertiary manual override in event of technology failures of primary and secondary automation. Also, presence of drivers on the buses is important for customers to feel safe.
  5. Initially it is essential to get “cheaters” under control in the dedicated BRT lane of the #2 Ring Road. Connect the BRT cameras to software that can identify people who break the rules against using the dedicated BRT bus lane for cars. Progressively heavy fines should be used to keep private drivers clear of the bus lane. Fine revenue can also be used to help finance AV research.
  6. When the “bugs” are out of the BRT automated vehicle control system, wealthy drivers should be permitted to retrofit their vehicles with AV equipment. This will allow them to return  to the dedicated bus lane for high speed travel around Guiyang, taking advantage of both the dedicated bus lane and the Big Data controlled transport system.
  7. While Guiyang is one of the most densely populated cities in the world, with five million people stacked together on the plateau, wealthy drivers could take advantage of early AV technology to maneuver the city. After using AV on the BRT dedicated lane, they can gradually expand their range of operation to go to and from common destinations, like home and work, etc.
  8. As prices of AV equipment fall, more and more Guiyang people will be able to afford to enter the automated vehicle system as it gradually expands from the #2 Ring Road into the general streets and alleys of Guiyang.
  9. Companies that cooperate with Guiyang early in development of AV technology will be leaders in the AV industry as it expands.
  10. Guiyang will grow a world class technology community, the Guiyang Tech Village.

See the following links for background:

About Guiyang, Guizhou, and www.TourGuizhou.com
2017 Big Data Expo
Big Data and AV in Guiyang
2017 Expo Announcement
Technical Background