After raising $35 million to develop driverless car technology and a strategy to build a fleet of shared vehicles, UK startup FiveAI is announcing its first on-street trial: a service aimed at commuters in the London outer boroughs of Bromley and Croydon. Projected to begin in late 2019, it will kick off first with a 10-month "data gathering" exercise, which will see five FiveAI vehicles, with drivers, collect information about road conditions, the movement of pedestrians and various vehicles, and other variables to help train its AI platform. The new trial will be the first on-street effort from the UK startup, which has up to now been testing its technology primarily in Bedfordshire, at automotive testing centre Milbrook Proving Ground, according to Ben Peters, FiveAI's VP of product who is also a co-founder of the company (alongside Stan Boland, Steve Allpress, John Redford and Simon Walker). The news of the London trial comes as TechCrunch has learned that FiveAI is also in the process of raising a new round of funding. While the $35 million FiveAI has raised to date is considered the highest amount of funding for an autonomous car company in Europe, it is a very modest figure when compared to startups in the US and China.
Matrix is the fastest, most scalable parallel file system for AI and technical compute workloads. TuSimple's goal is to develop a Level 4 autonomous truck driving solution, for the dock-to-dock delivery of commercial goods. The company, which was founded by entrepreneurs from the California Institute of Technology, has facilities in San Diego, Calif. and Tucson, Ariz., and to date its technology has been road-tested for some 15,000 miles. TuSimple chose WekaIO Matrix after comparisons with other scale-out file systems demonstrated that only Matrix has the ability to meet its most demanding performance requirements. "WekaIO Matrix was the clear choice for our on-premises DNN training in the U.S. It was understood from the outset that a standard network-attached storage (NAS) solution would not be able to scale to the extent we would need it to, and apart from Matrix being the most performant of all the parallel file systems we evaluated, we really liked the fact that it is hardware-independent, allowing us better control over our infrastructure costs.
As a result, electric car company reported a net loss of £548 million ($717.5 million) for its latest financial quarter, despite cranking out more vehicles than ever before. However, investors were buoyed by the news that Tesla still holds £1.6 billion ($2.2 billion) in cash reserves -- enough to keep building cars without borrowing more. CEO Elon Musk also pledged to post a profit later this year, as he set the firm the ambitious new goal of producing 10,000 Model 3s each week by next year. Tesla has cut back on capital spending by changing its strategy to produce the sedan on existing assembly lines – one of which is protected from the elements using a giant tent outside the factory – rather than adding all-new lines. Shares jumped 9.3 per cent to £328.85 ($328.85) in after-hours trading.
In this manuscript, we introduce a real-time motion planning system based on the Baidu Apollo (open source) autonomous driving platform. The developed system aims to address the industrial level-4 motion planning problem while considering safety, comfort and scalability. The system covers multilane and single-lane autonomous driving in a hierarchical manner: (1) The top layer of the system is a multilane strategy that handles lane-change scenarios by comparing lane-level trajectories computed in parallel. (2) Inside the lane-level trajectory generator, it iteratively solves path and speed optimization based on a Frenet frame. (3) For path and speed optimization, a combination of dynamic programming and spline-based quadratic programming is proposed to construct a scalable and easy-to-tune framework to handle traffic rules, obstacle decisions and smoothness simultaneously. The planner is scalable to both highway and lower-speed city driving scenarios. We also demonstrate the algorithm through scenario illustrations and on-road test results. The system described in this manuscript has been deployed to dozens of Baidu Apollo autonomous driving vehicles since Apollo v1.5 was announced in September 2017. As of May 16th, 2018, the system has been tested under 3,380 hours and approximately 68,000 kilometers (42,253 miles) of closed-loop autonomous driving under various urban scenarios. The algorithm described in this manuscript is available at https://github.com/ApolloAuto/apollo/tree/master/modules/planning.
Cameras and GPS navigation system gear are placed on a self-driving Mercedes car on display at an event to present a project on autonomous driving at former Tempelhof airport on July 10, 2018 in Berlin, Germany. Discussion about autonomous driving tends to focus on the leading company in the field, Google, which back in October 2010 set the ball rolling. Following the restructure that led to the creation of Alphabet, a subsidiary was set up called Waymo, which already has fleets of self-driving cars without safety driver on the roads of Phoenix, Mountain View, San Francisco, Austin, Detroit, Atlanta and Kirkland, selected mainly for their geographic and meteorological conditions. Which is not to say other companies aren't actively pursuing their own autonomous vehicles. In Arizona and several other cities, Cruise, owned by GM, has a large fleet.
Mercedes Benz owner Daimler is teaming up with Bosch to launch a fleet of driverless taxis in California's Silicon Valley next year. It is part of a program to test vehicles designed for city driving in an attempt to keep up with the likes of Waymo and Uber. The world's largest maker of premium cars and biggest automotive supplier gave few details about their robo-taxi program, described as a passenger shuttle service, and did not reveal which city would host it. Mercedes boss Daimler is teaming up with Bosch to launch a fleet of driverless taxis in California's Silicon Valley next year. Negotiations with the municipality within the sprawling technology hub of Silicon Valley were still underway, spokespersons for the companies said on a conference call with journalists.
Have you ever dreamed of the day where your car could drive for itself freeing you to do other things, such as reading, catching up on emails, watching a movie, or sleeping rather than focus on the road while in the car? Automotive manufacturers and transportation technology vendors are rapidly progressing us to that goal. Indeed, we discuss that "Autonomous Everything" is one of the four key parts of our AI-Enabled Vision of the Future. The power of AI and Machine Learning combined with extremely detailed city and road mapping, lane-keeping, collision avoidance, and self-parking is leading to automobiles and trucks that can take us to our destinations without us having to keep our feet on the pedals or hands on the steering wheel. However, as we have seen recently, a number of incidents and accidents have called into question how ready this technology is for general use.
Like in a Tough Mudder, you've got a few strategies when it comes to the race to launch a taxi-like service with autonomous vehicles. You can start early and keep a slow but steady pace. You can show up a bit late, then try to sprint through it. Or you can hold back, see what trips up other contenders, and then slowly work your way through the obstacles. The big automakers tend to fall into the third category.
Daimler's, the makers of Mercedes-Benz, and automotive supplies Bosch are soon to join the race of the self-driving cars market. Maria Mercedes Galuppo (@mariamgaluppo) has more. As self-driving vehicle experiments are launched in a few cities around the U.S., Mercedes-Benz maker Daimler and a prominent auto supplier are launching a new one in the place that would seem most receptive: Silicon Valley. Daimler and auto components maker Bosch will start a self-driving vehicle shuttle service in one of the cities south of San Francisco that comprises the heart of the nation's tech industry beginning in the second half of 2019. The move marks a concrete step forward for a partnership announced in April 2017 with the ultimate goal of delivering a self-driving car by 2021.
The second annual Baidu AI Developers Conference, officially known as Baidu Create 2018, opened in Beijing today. Baidu unveiled China's first cloud-to-edge AI chip, Kunlun, and many other upgraded versions of Baidu's AI products this morning on the first day of this two-day event. Li Yanhong, known as Robin Li, the founder and CEO of Baidu, introduced Baidu's latest research achievements in artificial intelligence (AI) field. Started in 2013, the autonomous driving project was mainly lead and developed by the Baidu Research Institute. At the 2017 Baidu World Congress in November last year, Robin Li stated that Baidu's Level 4 self-driving bus "Apolong" would be mass-produced by July 2018.