Ford’s plan to unveil a fully autonomous vehicle by 2021 launches the company into four key collaborations with innovators in the sensor/mapping, computer vision, machine learning and visual neuroscience sectors.
Ford is developing a fully autonomous vehicle for ride sharing, with delivery promised by 2021. The announcements confirmed the auto manufacturer’s intent to continue to dominate an industry undergoing significant disruption.
The company has revealed plans to have a high-volume, fully autonomous SAE level 4-capable vehicle in commercial operation in 2021 in a ride-hailing or ride-sharing service.
With that in mind, it is investing in or collaborating with four startups to enhance its autonomous vehicle development. This involves doubling its Silicon Valley team and more than doubling its Palo Alto campus.
According to Mark Fields, Ford president and CEO, “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.”
He said Ford is dedicated to putting an autonomous vehicle on the road that can improve safety and solve social and environmental challenges for millions of people, “not just those who can afford luxury vehicles.”
The initiative is part of Ford Smart Mobility, the company’s plan to be a leader in autonomous vehicles, as well as in connectivity, mobility, the customer experience, and data and analytics.
Driving autonomous vehicle leadership
Building on more than a decade of autonomous vehicle research and development, Ford’s first fully autonomous vehicle will be a Society of Automotive Engineers-rated level 4-capable vehicle without a steering wheel or gas and brake pedals.
It is being designed specifically for commercial mobility services, such as ride sharing and ride hailing, and will be available in high volumes.
“Ford has been developing and testing autonomous vehicles for more than ten years,” said Raj Nair, Ford executive VP, 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.”
This year, Ford will triple its autonomous vehicle test fleet to be the largest test fleet of any automaker. The number will reach about 30 self-driving Fusion Hybrid sedans on the roads in California, Arizona and Michigan, with plans to triple it again next year.
Ford highlighted its early mover initiatives – including being the first automaker to begin testing its vehicles at Mcity, University of Michigan’s simulated urban environment, and the first automaker to demonstrate autonomous vehicle operation in the snow.
It also said it was the first automaker to test its autonomous research vehicles at night, in complete darkness, as part of LiDAR sensor development.
To deliver an autonomous vehicle in 2021, Ford is announcing four key investments and collaborations:
Ford has invested in Velodyne, the Silicon Valley-based leader in light detection and ranging (LiDAR) sensors. The aim is to 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;
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 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 company is also expanding its Silicon Valley operations, creating a dedicated campus in Palo Alto.
Adding two buildings and 150,000 square feet of work and lab space adjacent to the current Research and Innovation Center, the expanded campus grows the company’s local footprint and supports plans to double the size of the Palo Alto team by the end of 2017.
“Our presence in Silicon Valley has been integral to accelerating our learning and deliverables driving Ford Smart Mobility,” said Ken Washington, Ford VP, Research and Advanced Engineering.
“Our goal was to become a member of the community. Today, we are actively working with more than 40 startups, and have developed a strong collaboration with many incubators, allowing us to accelerate development of technologies and services.”
This article originally appeared which-50.com and is reprinted with permission.