Oxford researchers modify Nissan Leaf for cheaper autonomous

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ruimegas
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Oxford researchers modify Nissan Leaf for cheaper autonomous

Mensagem por ruimegas » 16 fev 2013, 14:33

Oxford researchers modify Nissan Leaf for cheaper autonomous car

Using a system that costs little over $7,000, researchers at the venerable University of Oxford have developed a modified Leaf that can drive itself — as long as it recognizes its surroundings.

[IMG]http://gigaom2.files.wordpress.com/2013 ... 200&crop=1[/IMG]

"Is the future of the self-driving car one of full autonomy, or, as car manufacturers such as Ford have suggested, one of part-time autonomy? In the near-term, the latter option seems far saner, and it’s the approach that underpins new research being shown off by academics at the University of Oxford.

The RobotCar U.K. project is using a modified Nissan Leaf, an all-electric vehicle, which is fitted with around £5,000 ($7,750) worth of prototype navigation equipment. That system includes a controller PC in the trunk — which can control every function of the car — as well as cameras in the front, lasers discreetly tucked under the front and rear bumpers, and an iPad for the user interface up front.

[IMG]http://gigaom2.files.wordpress.com/2013 ... =300&h=199[/IMG]

In time, the researchers hope to develop an autonomous navigation system that costs just £100.

“We are working on a low-cost ‘auto drive’ navigation system, that doesn’t depend on GPS, done with discreet sensors that are getting cheaper all the time. It’s easy to imagine that this kind of technology could be in a car you could buy,” Professor Paul Newman, the project’s co-leader, said in a statement.

Mapping and learning

The system doesn’t use GPS because the satellite-based system is not accurate enough for the researchers’ needs. Instead, twin cameras keep an eye on the road ahead for pedestrians and so on, while the lasers create a three-dimensional map of the world around the car — this is a similar approach to that taken by Google in its autonomous vehicle research, except far cheaper (Google’s LIDAR unit alone costs $70,000) and less conspicuous.

This is where the car’s part-time autonomy comes in — at least in city environments. As Newman put it:

“Our approach is made possible because of advances in 3D laser mapping that enable an affordable car-based robotic system to rapidly build up a detailed picture of its surroundings. Because our cities don’t change very quickly robotic vehicles will know and look out for familiar structures as they pass by so that they can ask a human driver, ‘I know this route, do you want me to drive?’, and the driver can choose to let the technology take over.”
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It’s really a matter of machine learning, the science of probability and good guesswork; and the data the researchers are using comes from the cameras and lasers, but also from road plans, aerial photographs and internet queries. The car needs to learn its environment before it can, metaphorically speaking, take the wheel. (The driver can always take back control by tapping the brakes.)

Check out this video showing car driving through a gradually-updating “semantic prior map” — in other words, all the fixed stuff such as road markings, curb locations and so on, with dynamic objects being mapped along the way:



As for next steps, the team will try to get the system to understand traffic flows and learn how to evaluate best routes.

“Whilst our technology won’t be in a car showroom near you any time soon, and there’s lots more work to do, it shows the potential for this kind of affordable robotic system that could make our car journeys safer, more efficient, and more pleasant for drivers,” Newman said."

Em: http://gigaom.com/2013/02/15/oxford-res ... omous-car/
NISSAN LEAF Branco c/Spoiler mk1 de 09JUN2011. 195.000 kms.
TESLA Model 3 AWD. Encomenda 03JUL2019. Entrega 09JUL2019. 72078 kms.
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ruimegas
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Re: Oxford researchers modify Nissan Leaf for cheaper autono

Mensagem por ruimegas » 16 fev 2013, 14:46

See how sensitive the controls are on the iPad controlled car !!

NISSAN LEAF Branco c/Spoiler mk1 de 09JUN2011. 195.000 kms.
TESLA Model 3 AWD. Encomenda 03JUL2019. Entrega 09JUL2019. 72078 kms.
Associado da Associação de Utilizadores Veículos Eléctricos http://www.uve.pt

RJSC
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Re: Oxford researchers modify Nissan Leaf for cheaper autono

Mensagem por RJSC » 16 fev 2013, 15:34

Será que a Nissan lhes forneceu a documentação das mensagens do barramento CAN?

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Re: Oxford researchers modify Nissan Leaf for cheaper autono

Mensagem por mjr » 16 fev 2013, 21:03

Claro que forneceu.

O Engineer do forum MNL também teve acesso a essa informacao, pois consegue ter acesso a dados que nem o sistema de diagnostico Consult III+ possui.
Nissan Leaf 40 Tekna preto, entregue em 30 de maio de 2018. 51400km em 2024-02-15
Nissan LEAF mk1 Preto, entregue em 7 de julho de 2011. 180000 km em 2023-12-22.
Tesla Model 3 LR preto entregue em 2019-03-06. 125000 km em 2023-12-22.
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Re: Oxford researchers modify Nissan Leaf for cheaper autono

Mensagem por mikexilva » 17 fev 2013, 00:54

Devia existir uma forma standard de montar um sistema destes... agora que o LEAF de 2013 vai ter opção de 4 camaras em volta até era capaz de dar para o carro se estacionar sozinho sem grandes adições de sensores.

O Google já há muito que tem uns Toyota Prius modificados a andar sozinhos, e também já tem uns LEAF's na sua frota (mas não sei se é só para deslocação dos empregados) e já li algures que num espaço de 5 anos estavam a pensar comercializar um sistema para adicionar a alguns modelos de carros para condução automática, e agora que o LEAF 2013 começou a ser produzido nos Estados Unidos era uma boa parceria...

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