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Nissan Using NASA's Mars Rover Technology for Autonomous Car

At CES 2018, Nissan North America  announced an agreement with NASA Ames Research Center to collaborate on research and technology development for future autonomous mobility services. Last year at CES 2017, Nissan introduced Nissan Seamless Autonomous Mobility (SAM), a platform for managing fleets of autonomous vehicles, developed from NASA's Mars Rover technology. This new phase in the joint collaboration will further develop the technology and test the use of SAM for managing autonomous transportation services, ahead of public implementations.

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Aerospace Automation Automotive Motion Control Robotics Transportation

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    Transcript

    00:00:00 I am Martin searhaus I'm the director of the Nissan Research Center in Silicon Valley the nas technology developed for interplanetary robotic exploration provides the foundation for a trusted infrastructure for autonomous vehicles here on Earth there needs to be human input we need to have control vehicles need to be coordinated by a a technology that we call Seamless autonomous

    00:00:25 Mobility Sam Vehicles will run into situations where they need help the vehicles will have to interact with other human beings and to do that well and to do that in any situation flawlessly we believe that a system like Sam will create a seamless integration into Human Society it is like the air traffic control system thousands of airplanes in the air with

    00:00:51 two pilots in the cockpit and still we have humans at a distance controlling and observing the airspace we will need the same for autonomous vehicles regardless of how smart and how intelligent those vehicles are I believe deeply that we need this technology to bring fully autonomous vehicles into society what this technology allows us to do is

    00:01:14 to advance autonomous vehicles to the next level and the development of Sam allows Nissan's intelligent Mobility concept to transform society and make it a better place for everyone propilot is Nissan's autonomous vehicle technology Sam enables thousands of vehicles with Nissan's propeller technology to drive in society without problems things will occur in the world

    00:01:41 that this the vehicle cannot solve by itself at that moment the human steps in and helps it once he's done that the system has learned to deal with this and then it can distribute this to all the other thousands of vehicles out there to solve the same problem without the human in the loop thousands if not hundreds of thousands millions of vehicles all over the world can be helped this way I'm

    00:02:03 Melissa Sefton and I'm a principal researcher and a senior manager at the Nissan Research Center in Sunnyvale under normal conditions of an autonomous vehicle operating autonomously they should be able to navigate intersections crosswalks all sorts of different settings obviously all that that we have mapped in and are familiar with nonetheless there are going to be

    00:02:25 occasions that it does encounter Ops obstacles or challenging situations that would cause it significant pause that it will need some additional support with the help of Sam and an external operator who can quickly assess the situation and understand what's happening they can send a new recommendation to the car about what it can do to move seamlessly through an encounter we look globally to

    00:02:49 understand how Vehicle Systems how Road systems and everyday practices on the road vary in place to place when we went to Japan one of the most remarkable notable things are narrow roads cities have them rural areas have them so you encounter situations that you have to negotiate with everybody else on that road and we're using this to build out a responsible and what we call socially

    00:03:13 acceptable approach to autonomous systems Sam is really going to allow us to have profound sort of interaction and teaming between the machine and the people in in the system who are helping guided so that things can work to the benefit of members of society who are trying to achieve things through Mobility what's exciting about Sam is that it's

    00:03:37 going to allow us to have many many cars on the road that are benefiting from the human intelligence in that system it has built into it a capability for real-time learning because you have different operators and people in the loop they can very quickly propagate an understanding of what a situation was how to address it and what to to move to in the next instance in a real-time

    00:04:02 fashion at scale so that we can get autonomous vehicles in a systemic way on the road sooner