New details regarding Apple's efforts in autonomous car technology were revealed in a patent published this week, spotted by Autoblog. The patent, called "Autonomous Navigation System," was filed by Apple in 2015, about a year after the company reportedly started working on self-driving technology. The paperwork filed with the U.S. Patent and Trademark Office details a navigation system with sensors installed in the vehicle that provides "updates to a virtual characterization" of a route drivers have traveled on. The patent also mentions a " database of characterizations," where information on traveled roads can be stored in. "Some embodiments provide an autonomous navigation system which enables autonomous navigation of a vehicle along one or more portions of a driving route based on monitoring, at the vehicle, various features of the route as the vehicle is manually navigated along the route to develop a characterization of the route."
Researchers from our group at QUT and the Australian Centre for Robotic Vision have had six papers accepted to the upcoming Australasian Conference on Robotics and Automation to be held at The University of Technology Sydney. This year the conference trialed a dual submission process with the IEEE International Conference on Robotics and Automation, meaning work can be presented at both conferences but only published in the proceedings of one. The papers cover ongoing research in our lab spanning topics including robotics, positioning and AI for applications in mining, construction safety and autonomous vehicles. I'll give an overview here of the research we're doing, and a wrap up at the end. Despite very high safety standards, work sites of all varieties around Australia still cause large numbers of injuries and occasional fatalities.
For example, a company called Intelligent Flying Machines built a drone that can autonomously navigate through a warehouse and match what's on the shelves to what's in the inventory system to help the distribution center manage inventory better. We see a lot of opportunity in other areas like precision agriculture, package delivery, safety and security, and search and rescue. For the areas that I mentioned -- industrial inspection, precision agriculture, package delivery, safety and security, search and rescue -- there's going to be an opportunity for UAVs to solve these challenges in a way they haven't been able to before. Clayton: Nvidia makes Jetson, and Jetson is Nvidia's platform for artificial intelligence for edge devices like UAVs.
Summary: With only slight tongue in cheek about the road ahead we report on the just passed House of Representative's new "Federal Automated Vehicle Policy" as well as similar policy just emerging in Germany. Just today (9/6/17) the US House of Representatives released its 116 page "Federal Automated Vehicles Policy". Equally as interesting is that just two weeks ago the German federal government published its guidelines for Highly Automated Vehicles (HAV being the new name of choice for these vehicles). On the 6 point automation scale in which 0 is no automation and 5 is where the automated system can perform all driving tasks, under all conditions, the new policy applies to level 3 or higher (though the broad standards also apply to the partial automation in levels 1 and 2).
China is creating roadblocks for U.S. auto makers and tech companies to bringing self-driving cars to the world's largest auto market. Citing national security concerns, China is limiting the amount of mapping that can be done by foreign companies, as General Motors Co., Ford Motor Co., Alphabet Inc. and Apple Inc. rush to develop self-driving cars or the software behind them. To secure turn-by-turn navigation maps, foreign car makers currently work with Chinese mapping companies. German mapping provider HERE, owned by auto makers Audi, BMW AG BMW -2.61% and Daimler AG, will bring its maps to China after receiving investment and forming a 50-50 joint venture with Navinfo last December.
Today, enterprise software is largely at the "power steering" phase. Today, enterprise software is largely at the "power steering" phase, where workflow-based software helps you "steer" more easily. Over the next decade, I believe enterprise software will get to level 4/5, where software will be self driving, and we'll see a paradigm shift in the coming years when we move from a mindset of machines are assisting humans to humans are assisting machines. Salesforce has been a largely workflow driven solution to push sales reps to input their activities (so they get paid) and thus allow sales managers to view activities of their direct report and manage more efficiently.
The biggest companies in the world are busy launching projects, announcing partnerships, and spending massive amounts of money to develop the first viable autonomous platform. In this scenario, the rivalry between Apple and Google would play out much like it has in the smartphone industry: Apple would design and build its own self-driving car to meticulously control the user experience, while Google would serve as the most common self-driving system on the market for everyone else's vehicles. One of the biggest trends in self-driving development has been the flurry of partnerships that have sprung up between tech companies, mobility startups (think Uber and Lyft), and traditional automakers. Training the AI that controls the autonomous systems takes massive amounts of situational data compiled by test driving on roads IRL; that's why Apple likely has a car on California streets now.
Republican Senator John Thune, who chairs the Commerce Committee, Bill Nelson, the top Democrat on the panel, and Senator Gary Peters, a Michigan Democrat, said in a joint statement that existing federal vehicle regulations written over recent decades did not account for self-driving cars without a human driver behind the wheel.
The government endorsed a plan Friday to prioritize investment in human resource development to buttress Japan's economic growth and improve its tattered finances. Japan will maintain its pledge to achieve a surplus in the primary balance by fiscal 2020, while the government's annual economic policy blueprint said that another indicator used to gauge fiscal health -- the debt to gross domestic product ratio -- is also important. The Cabinet approved the economic and fiscal policy and a strategy for future investment on Friday ahead of the compilation later this year of the budget for fiscal 2018. "We will carry out labor reform to change how people work and also boost productivity by investing in human resources," Prime Minister Shinzo Abe told a joint meeting of government panels that finalized the documents.
While the name of the potential new market is lame, the amount of cash it's estimated to drive is not: the study predicts self-driving cars will free up 250 million hours of commuting time per year, providing the backbone for a thriving $800 billion industry by 2035, when the study predicts fully autonomous vehicles will begin to proliferate globally. SEE ALSO: Google's autonomous car company is now testing out self-driving trucks Intel cites other paradigm shifts like the adoption of smartphones and personal computing for its intense interest in this potential sector; tech advancements have killed off late adopters before, and it will again soon, according to this logic. "Companies should start thinking about their autonomous strategy now," Intel CEO Brian Krzanich said in a release promoting the study. "Companies should start thinking about their autonomous strategy now" The $7 trillion estimate is broken down into a few potential revenue streams, the largest of which at $3.7 trillion is "consumer mobility-as-a-service," i.e.