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Ford to design automated vehicle for rideshare industry

Ford has flagged it will produce a fully autonomous vehicle designed for ride sharing. It should be on U.S. roads by 2021. Autonomous vehicles are part of Ford Smart Mobility - its plan to be a leader in the field as well as in connectivity, mobility, customer experience, and data and analytics.

Ford Motor Company has announced its intent to have a high-volume, fully autonomous SAE level 4-capable vehicle, without a steering wheel or controls, in commercial operation in 2021 in a ride-hailing or ride-sharing service.

The Society of Automotive Engineers (SAE) has developed a five-level scale. “The driving mode-specific performance by an automated driving system of all aspects of the dynamic driving task, even if a human driver does not respond appropriately to a request to intervene.”

SAE

To get there, the company is investing in or collaborating with four start-ups to enhance its autonomous vehicle development, doubling its Silicon Valley team and more than doubling its Palo Alto campus.

“The next decade will be defined by automation of the automobile, and we see autonomous vehicles as having as significant an impact on society as Ford’s moving assembly line did 100 years ago,” said Mark Fields, Ford President, and CEO. “We’re dedicated to putting on the road an autonomous vehicle that can improve safety and solve social and environmental challenges for millions of people – not just those who can afford luxury vehicles.”

“Ford has been developing and testing autonomous vehicles for more than ten years,” said Raj Nair, Ford executive vice president, Global Product Development, and chief technical officer. “We have a strategic advantage because of our ability to combine the software and sensing technology with the sophisticated engineering necessary to manufacture high-quality vehicles. That is what it takes to make autonomous vehicles a reality for millions of people around the world.”

Ford will triple its autonomous vehicle test fleet to 30 - the largest test fleet of any automaker – on the roads in California, Arizona, and Michigan. It was the first automaker to begin testing its vehicles at Mcity, University of Michigan’s simulated urban environment, the first automaker to publicly demonstrate autonomous vehicle operation in the snow, and the first automaker to test its autonomous research vehicles at night, in complete darkness, as part of LiDAR sensor development.

It has announced four key investments and collaborations that are expanding its strong research in advanced algorithms, 3D mapping, LiDAR, and radar and camera sensors:

  • Velodyne: Ford has invested in Velodyne, the Silicon Valley-based leader in light detection and ranging (LiDAR) sensors. The aim is to quickly mass-produce a more affordable automotive LiDAR sensor. Ford has a longstanding relationship with Velodyne, and was among the first to use LiDAR for both high-resolution mapping and autonomous driving beginning more than ten years ago
  • SAIPS: Ford has acquired the Israel-based computer vision and machine learning company to further strengthen its expertise in artificial intelligence and enhance computer vision. SAIPS has developed algorithmic solutions in image and video processing, deep learning, signal processing and classification. This expertise will help Ford autonomous vehicles learn and adapt to the surroundings of their environment
  • Nirenberg Neuroscience LLC: Ford has an exclusive licensing agreement with Nirenberg Neuroscience, a machine vision company founded by neuroscientist Dr. Sheila Nirenberg, who cracked the neural code the eye uses to transmit visual information to the brain. This has led to a powerful machine vision platform for performing navigation, object recognition, facial recognition, and other functions, with many potential applications. For example, it is already being applied by Dr. Nirenberg to develop a device for restoring sight to patients with degenerative diseases of the retina. Ford’s partnership with Nirenberg Neuroscience will help bring humanlike intelligence to the machine learning modules of its autonomous vehicle virtual driver system
  • Civil Maps: Ford has invested in Berkeley, California-based Civil Maps to further develop high-resolution 3D mapping capabilities. Civil Maps has pioneered an innovative 3D mapping technique that is scalable and more efficient than existing processes. This provides Ford another way to develop high-resolution 3D maps of autonomous vehicle environments Silicon Valley expansion

The new Ford Research and Innovation Centre Palo Alto opened in January 2015 and has rapidly grown to be one of the largest automotive manufacturer research centres in the region. It is home to more than 130 researchers, engineers, and scientists, who are increasing Ford’s collaboration with the Silicon Valley ecosystem.

An expanded Palo Alto campus will open in mid-2017 comprising a dedicated campus in Palo Alto, two new buildings, and 150,000 square feet of work and lab space adjacent to the current Research and Innovation Centre.

“Our presence in Silicon Valley has been integral to accelerating our learning and deliverables driving Ford Smart Mobility,” said Ken Washington, Ford vice president, Research and Advanced Engineering. “Our goal was to become a member of the community. Today, we are actively working with more than 40 start-ups, and have developed a strong collaboration with many incubators, allowing us to accelerate development of technologies and services.”

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Ray Shaw

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Ray Shaw ray@im.com.au  has a passion for IT ever since building his first computer in 1980. He is a qualified journalist, hosted a consumer IT based radio program on ABC radio for 10 years, has developed world leading software for the events industry and is smart enough to no longer own a retail computer store!