The self-driving taxi could ultimately take the global auto industry on a wild ride. Our use-case approach reveals why. Personal mobility could change profoundly in the next two decades. Consumers, who increasingly view mobility as a service, want more choices for traveling between points A and B, including ride hailing, car sharing, and perhaps even self-driving "robo-taxis." For automakers, the proposed changes could replace the industry's traditional emphasis on "moving metal" with new schemes to capture greater profits per mile or per trip.
Intel's Mobileye unit has been awarded a contract to supply millions of autonomous vehicles. According to Reuters, eight million cars will be equipped with self-driving technologies and shipped off to an automaker stationed in Europe. Financial terms of the deal were not disclosed. Erez Dagan, senior vice president for advanced development and strategy at Mobileye told the publication that the contract will come into play in 2021 when Intel's Mobileye EyeQ5 chip is ready. The processor is an upgrade on the upcoming EyeQ4, which is due to be rolled out in the coming weeks.
There are already more than 200,000 Teslas on the road, and all of them built after early 2015 are capable of Autopilot, that is, semiautonomous driving. This makes drivers, and anyone encountering these cars on the road, guinea pigs who are helping to train the artificial intelligence Tesla ultimately hopes to use for a fully autonomous driving system. During this experiment, at least two people have died in driver's seats of Teslas that crashed while Autopilot was engaged, but Chief Executive Elon Musk argues the system continues to improve and, overall, Teslas are safer than they would be without the technology. They're experimenting at much smaller scales, though an Uber autonomous vehicle killed a pedestrian in March. These experiments are based on a number of assumptions about the abilities of AI, and the compatibility of humans and partially autonomous driving systems.
In case you still doubted that autonomous driving is going to be a reality in our cities from 2020 on, check out the latest move from Waymo, the Alphabet subsidiary working to make self-driving vehicles a reality: it's just bought 20,000 Jaguar I-PACE electric cars, which together with the several thousand already acquired from Fiat-Chrysler announced last January, now make up a more-than-respectable sized fleet. Waymo calculates that it will be able to offer around no less than one million journeys every day using only the Jaguars. To put that into context, in November 2017 in New York City, the combined taxi fleet took an average of 336,737 trips each day. On that scale, and considering that Waymo is competing with GM and others, by 2020 it will be perfectly normal to use autonomous vehicles in most US cities. We're talking 18 months down the road; Waymo intends to begin road testing autonomous taxis by the middle of this year and by 2020 aims to be operating a fleet of several tens of thousands of vehicles throughout the United States: Americans will soon overcome any fears they may have had of autonomous vehicles along with concerns about absurd hypothetical moral dilemmas, and instead they will see them as a normal part of the urban landscape and the transportation option of choice.
After a woman was struck and killed by a self-driving Uber vehicle in Tempe, Arizona earlier this year, Toyota paused its autonomous driving program. Now, more than a month later, the car company is resuming its testing in California and Michigan within the next few weeks, a company spokesperson said -- and they're rolling out brand new facilities. As its vehicles ease back onto the roads, Toyota is building a massive autonomous driving test facility in Michigan. The closed-course track was announced Thursday and is set to open in October, located in Ottawa Lake at the Michigan Technical Resource Park. The 60-acre track will give Toyota a space to test "edge cases," or situations too dangerous to test on public roads.
In 2017, these 15 self-driving car start-ups have cumulatively raised funding of more than $3 billion till date and the funding raised in 2017 was 100% more than 2016. The total funding of all self-driving scar tart-ups from both private and corporate investors has gone past $5.5 billion as of March 2018.The digitization is also fuelling the prospects of autonomous on demand ride hailing taxis. It is worth mentioning that only few of the start-ups are generating revenue and some are yet to showcase a clear path to scale up and ultimately become profitable. US is considered to be leading the way in terms of legislation for driverless vehicles. States in America including Nevada, Florida, California and Michigan have already passed laws concerning driverless cars.
The deal, which could be announced early next week, would mark the first step for a potential broader alliance between the world's biggest auto maker by sales and the global leader in ride-hailing, as China races to get ahead in mobility services such as car sharing. It is also highlights that even as China begins to loosen requirements on joint ventures, foreign manufacturers are wary of going it alone and want a strong local partner to boost their chances of success in the country. "The joint venture with Didi is not just about ride-hailing. We want to explore mobility projects as well as autonomous driving and robo-taxis," said Weiming Soh, board member in charge of strategy at Volkswagen's China subsidiary. A spokeswoman for Didi said: "The parties are still exploring details of the cooperation.
The very idea of a driverless vehicle rolling around on the streets seems incredible. And yet, we may be close to seeing such vehicles on the road around the world, thanks to artificial intelligence (AI), among other driving forces. In the recent past, there have been some amazing advances in autonomous vehicle technology which indicate the dream is inching toward fruition. It seems that the framework of autonomous vehicles has been almost finalized. Subject to legal and administrative approvals, driverless vehicles will be a common sight on the roads soon.
Multiple automakers have in development or in production automated driving systems (ADS) that offer freeway-pilot functions. This type of ADS is typically limited to restricted-access freeways only, that is, the transition from manual to automated modes takes place only after the ramp merging process is completed manually. One major challenge to extend the automation to ramp merging is that the automated vehicle needs to incorporate and optimize long-term objectives (e.g. successful and smooth merge) when near-term actions must be safely executed. Moreover, the merging process involves interactions with other vehicles whose behaviors are sometimes hard to predict but may influence the merging vehicle optimal actions. To tackle such a complicated control problem, we propose to apply Deep Reinforcement Learning (DRL) techniques for finding an optimal driving policy by maximizing the long-term reward in an interactive environment. Specifically, we apply a Long Short-Term Memory (LSTM) architecture to model the interactive environment, from which an internal state containing historical driving information is conveyed to a Deep Q-Network (DQN). The DQN is used to approximate the Q-function, which takes the internal state as input and generates Q-values as output for action selection. With this DRL architecture, the historical impact of interactive environment on the long-term reward can be captured and taken into account for deciding the optimal control policy. The proposed architecture has the potential to be extended and applied to other autonomous driving scenarios such as driving through a complex intersection or changing lanes under varying traffic flow conditions.
Over the years, the vehicles we rely on each day have grown increasingly more impressive, thanks to safety-enhancing advances in cameras, GPS, and more. As automobile manufacturers continue to search for solutions that might make vehicles easier to drive, and less dangerous on the roads, there's been a huge surge in research around the concept of "autonomous" driving. Driverless cars are set to transform the world, changing the concept of "road trips" for good, and substantially reducing the risk of accidents. Some reports even suggest that autonomous technology could reduce collisions by 80% by 2040. One of the most compelling pieces of technology leading the way for autonomous driving is the Tesla Autopilot system – an AI-enhanced driving assistance feature that's set to change the way we drive.