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Deep Learning for Autonomous Cars – Might ‘Open’ be a disruption from Asia?

claudio — Mon, 05 Jun 2017 10:02:34 +0000

While in Europe and US the classic car manufactures created often one-to-one partnerships with OEMs and tech companies in the past, in Asia now also new business models are rising:

Some previous partnerships include (in alphabetically ordered):

Audi Autonomous Car in 2020 with NVIDIA
BMW partners close with Delphi Automotive and Intel, which now also owns Mobileye
Bosch partners with NVIDIA and Daimler as well as several car manufactures
Ford bought SAIPS Machine Learning, co-invested in Velodyne (with Baidu) for it’s 2021 robot cabs agenda
Here partners with Mobileye and NVIDIA
Hyundai Motor presented the Ioniq Concept
Japan created an autonomous car consortium for the 2020 Olympics in Tokyo
Samsung Electronics for Automotive bought tech with Harman
Volvo struggled with Uber (link)
Volkswagen online Mobileye and Delphi in 2018
…
ZF and NVIDIA collaborate on embedded autonomous driving

Currently manufactures and OEMs see their need of software, hardware and data. Therefore building partnerships conventional one-to-one or one-to-few. (Additionally past process optimisation often came from automotive – now also the IT offers more and more team process optimisation, such as with SCRUM and Agile.)

Baidu

But besides the Google car, which was in the news for years, Baidu might be even closer to Googles regular market approach:
Open software and services and creating a ecosystem.

„Baidu, which is China’s Google, is leading the effort with big data and deep learning and recently began public trials of its own self-driving cars, despite severing its autonomous driving partnership with BMW, noting the two companies differed on how to proceed.“
https://www.forbes.com/sites/frankahrens/2016/11/28/asia-speeding-ahead-in-self-driving-vehicle-technology/#d819ea9404c5

Source: https://www.forbes.com/sites/frankahrens/2016/11/28/asia-speeding-ahead-in-self-driving-vehicle-technology/#d819ea9404c5
Baidu however, goes a step or two further, trying to build an open source like autonomous car reference implementation – like Google ownes Android.
http://www.cnbc.com/2017/04/19/baidu-driverless-cars-open-source-technology.html

Their advantage is, like Google, they don’t have a car business to loose, yet to gain. This can be a whole market disruption, as many new players on the market can arise utilising their technology.

Hardware: Eventually besides the software algorithms maybe hardware will be manufatured within the mainland Chinese ecosystem as well.
For example the top #1 fastest supercomputer in the world, Sunway TaihuLight in Wuxi runs already on only local processors with with 93 petaflops.

Read about Baidu: http://usa.baidu.com/adu/

Future

„Ford’s research has found that 84 percent of Indians and 78 percent of Chinese could see themselves owning an autonomous car, compared with only 40 percent of Americans and 30 percent of Britons, Connelly said.“

Source: http://www.cnbc.com/2016/12/06/asia-may-be-the-real-global-market-for-autonomous-cars.html

Hence, form my point of view: Tech soft- and hardware suppliers and car manufactures / OEMs have to collaborate more, invest heavily in Deep Learning and see openness as an advantage.

Additionally, have a look at a Ptolemus Partnership Map:

Further resources:

http://www.businessinsider.de/how-uber-embarrassed-volvo-in-california-2016-12

https://www.theverge.com/2016/8/16/12499622/ford-baidu-velodyne-investment

http://www.gruenderszene.de/allgemein/tesla-ford-autonomes-fahren-analyse (german)

http://www.gruenderszene.de/automotive-mobility/delphi-mobileye-system-selbstfahrende-autos (german)

http://ngin-mobility.com/artikel/2018-mobileye-vw-daten-autonomes-fahren/ (german)

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Machine Learning and Artificial Intelligence in the Age of Autonomous Driving

claudio — Sat, 27 Aug 2016 14:01:48 +0000

In the last time a lot of great AI core software came out.
TensorFlow by Google integrated the code of DeepMind and is strong in imae recognition as well as natural language processing.
Besides the OpenAI group is working on a open and bigplayer independent AI platform for the masses. Of cource also Microsoft is strong with Machine Learning on Azure and Amazons DSSTNE is still living a shaddow life.

Within Automotive there are news everyday about new accomplishmens. Like from Audi, Mercedes, Telsa and all the others. Also IT gigants like Google and open-secretly Apple as well as often critizised Uber.

Even there are many restrictions often commented – mostly within the areas of ethics and laws – it’s a clear trend towards autonomous driving with more and more driver assistance systems.

Already for me, as digital native, the software features running within a car trumps the design & interrieur etc.

Working within the Automotive area on machine learning and artificial intelligence means having great changes ahead.

So more will follow

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Auto Auto – αὐτός mobilis

claudio — Sun, 01 Nov 2015 21:52:50 +0000

If you see a button with the description ‘auto’ on a machine – you know you don’t have to do much – the machine will work it out itself – and that will soon be the same for cars.

In Germany we already call a car them ‘Auto’ which is a short for ‘Automobil’, deriving from the greek αὐτός and latin ‘mobilis’ – “self moving”. Well the name has it already in it – and this year there were so many news about the selfdriving cars.

Daimlers concept car F015 has some nice elements for people inside and outside the car.

Will the be no traffic jams if all cars drive in a steady way, with a secure but short distance to each other without any surprising behaviour? No traffic lights needed when cars are connected? Order a car with a desk during daytime or a comfy couch on the evening. No need of an all purpose car – enjoy a nice sporty one if you feel like it – or an super energy efficient if you prefer.

As soon as most traffic is done by autonomous cars – or as I like to call them Auto Autos safety will increase incredible – and small cars will be as nearly as safe as huge ones.

Check out some of the latest headlines:

Racing Self-Driving Cars Will Make Roads Safer for Everyone
http://www.wired.com/2015/12/roborace-autonomous-vehicle-racing/
Mercedes-Benz F 015 Luxury in Motion
https://www.mercedes-benz.com/en/mercedes-benz/innovation/research-vehicle-f-015-luxury-in-motion/
Volvo to test autonomous cars with ordinary drivers on public roads by 2017
http://www.theguardian.com/technology/2015/feb/24/volvo-test-autonomous-cars-ordinary-drivers-public-roads-by-2017

Some numbers say, the most advanced autonomous car already drives better then 99% of the people. This is a huge increase in saftey, plus more comfort.

My opinion: A computer scientist should not decide about life and death in a car accident – in a split-second.
But nowadays that is the case, and I am a programmer and possibly need to react in an accident in less then a second. Better have a thousand people think, talk and collaborate on programming the car to find the best moral and practical solution.

Autonomous Cars and Artificial Intelligence

Autos will be a huge field for predictive analytics, as image recognition and pattern recognition as part of machine learning is one of the ost important areas for the future autonomous cars.

[This article will be extended possibly during christmas time]

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