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2014 Audi Q5 Quattro 2.0t Premium Plus on 2040-cars

US $15,000.00
Year:2014 Mileage:29900 Color: Gray
Location:

Newark, New Jersey, United States

Newark, New Jersey, United States
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Please contact me only at : PingTorrainstoq@yahoo.com

Excellent condition - like new. Low miles. Garage kept day & night. Lane changeindicator. Audi MMI Navigation system. Parking assistance with / heated seats with climate control. Full vehicle - hands-free operation for phone and musicAudi Connect Rack. All weather mat for trunk.

Auto Services in New Jersey

Williams Custom Tops-Interiors ★★★★★

Automobile Parts & Supplies, Automobile Seat Covers, Tops & Upholstery, Automobile Accessories
Address: 910 Woodbourne Rd, Fieldsboro
Phone: (215) 757-3100

Volkswagon of Langhorne ★★★★★

Auto Repair & Service, New Car Dealers, Used Car Dealers
Address: 1862 E Lincoln Hwy, Pennington
Phone: (215) 741-4100

Vip Honda Honda Automobiles ★★★★★

New Car Dealers
Address: 542 Somerset St, Fanwood
Phone: (908) 753-6071

Tri State Auto Glass ★★★★★

Automobile Parts & Supplies, Glass-Auto, Plate, Window, Etc, Windshield Repair
Address: 15511 Liberty Ave, West-New-York
Phone: (718) 206-0143

Solveri Collision Center ★★★★★

Auto Repair & Service, Automobile Body Repairing & Painting
Address: 2300 Route 88, Asbury-Park
Phone: (732) 202-7448

Scotts Auto Service ★★★★★

Auto Repair & Service
Address: 161 Kinderkamack Rd, Haworth
Phone: (201) 391-3433

Auto blog

Audi will have an autonomous car in 2020 using NVIDIA tech and AI

Thu, Jan 5 2017

Audi and NVIDIA have been working together for a while, with most of the results being fancy infotainment systems like the current version of MMI and Audi's Virtual Cockpit display setup. Now the two are partnering to build autonomous vehicles that will leverage NVIDIA technology. Audi has a demonstrator now and promises a fully autonomous car for the year 2020. The tech underlying these new self-driving vehicles is NVIDIA's DRIVE computing platform. It uses the latest in artificial intelligence concepts, including neural networks, which are basically computer science's way of modeling decisionmaking after the way the human brain works. The network is able to learn and improve as it goes by making new connections. Machine learning tasks being handled by neural networks include computer vision, which can use a combination of sensors and cameras to help a computer, in this case the car, figure out what's going on in an environment to navigate through it. The companies are already demonstrating a version of DRIVE, the DRIVE PX 2, in the autonomous Audi Q7 shown above. The crossover is able to figure out its own path and can sense and drive on different types of surfaces, including pavement, grass, and dirt, plus it can navigate the cones of a simulated construction zone while reading dynamic detour signs. In 2018, Audi will expand testing of its autonomous vehicles on California public roads. The manufacturer has been permitted to test cars in the state since 2014. In announcing the expansion, Audi makes a point to mention it intends to follow applicable laws to the letter, which seems like more than a veiled reference to the trouble Uber found itself in recently when it didn't quite meet testing requirements in San Francisco. Audi has also promised Level 3 autonomy from the 2018 A8, which will feature a system called Traffic Jam Pilot to control the steering, throttle, and brakes at speeds below 35 mph. The company's previous autonomous work includes a self-driving RS7 track car named Bobby, which our own Jonathan Buckley got to race against in the Translogic episode below. Related Video:

Audi R18 suffers huge crash during Le Mans practice, driver conscious and alert

Wed, 11 Jun 2014

Loic Duval, driver of the #1 Audi R18 E-tron Quattro, suffered a massive crash today during free practice for the 24 Hours of Le Mans. Duval's car reportedly went off track backwards at high speed near the Porsche Curves and flew into the retaining fence. There is no video of the actual crash at the moment, but a video of the aftermath (viewable below) shows significant damage to the Audi and to the fence. The wall nearby the car appears unaffected.
Thankfully, it occurred quite close to a marshal's stand, and they were present almost immediately after the incident. Both the official press release from the 24 Hours of Le Mans and a tweet from Audi Sport (below) indicated that Duval was conscious after the crash, and he was taken by ambulance to the medical center and then to the hospital. The press release says: "His condition is encouraging." However, any injuries he might have sustained are unknown at this time. After the crash, the course was red flagged, and practice resumed about 50 minutes later.
Duval is alert. He will be transported from the Medical Center to the hospital for further examinations #R18 #LM24 @FIAWEC @24hoursoflemans

German companies team up with telecom to spur development of talking cars

Tue, Sep 27 2016

With connectivity and communications becoming an ever larger part of the automotive world, German automakers Audi, BMW, and Daimler formed the 5G Automotive Association with Intel, Nokia, Ericsson, Qualcomm, and Huawei. The goal is to develop new technologies to take advantage of LTE and 5G advancements, create standards, and overcome regulatory issues. If they succeed, it will be easier for them companies to develop and implement new technologies. For instance, we could see smarter traffic management, and maybe platooning, advance further in the autonomous sector. By acting as a group, they will also be able to address regulatory issues more easily. All of these companies are capable of developing advanced vehicle communication systems on their own. Audi, in fact, has been pursuing vehicle-to-infrastructure (V2I) technology and launched a stoplight timer in models in some cities. Still, the alliance offers the potential to save time and develop new ideas. Related Video: Image Credit: Audi Auto News Audi BMW Mercedes-Benz Technology Emerging Technologies Infotainment Autonomous Vehicles 5g Connectivity v2v intel vehicle to vehicle communications vehicle to infrastructure technology v2i